yusuke1997/dblp-id-title huggingface dataset:
To Explore the Mechanism of Shenling Baizhu San in the Treatment of Chronic Obstructive Pulmonary Disease Based on Network Pharmacology and Molecular Docking Technology
Refining multimeric protein complexes using conservation, electrostatics and probabilistic selection
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
Universal Immune System Simulator Analysis: The Impact of the Variable Approach Technique® on Enhancing Immune Defense Against infectious diseases
Automated Pancreas Segmentation Using Recurrent Adversarial Learning
Prioritizing Intellectual Disability Candidate Genes and Understanding Family Diseases Using Machine Learning
Using Molecular Fingerprints as Descriptors in Toxicity Prediction: A Survey
Visual-X2: Scoring and visualization tool for analysis of protein crystallization trial images
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation
Speaker recognition with voice evoked EEG
Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation
Artificial Intelligence approaches on Ultrasound for Breast Cancer Diagnosis
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis
Improved classification model for peptide identification based on self-paced learning
Prioritizing genes associated with brain disorders by leveraging enhancer-promoter interactions in diverse neural cells and tissues
Fine Tuning Sparsity Penalties to Improve Structural Variant Detection
A multi-objective program for quantitative subtyping of clinically relevant phenotypes
Harnessing computational models to uncover the role of the immune system in tuberculosis treatment
Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines
Professional tennis player ranking strategy based Monte Carlo feature selection
Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm
Signal Processing for Athletic Cardiovascular Monitoring with Wearable Sensors: Fully Automatic Detection of Training Phases from Heart Rate Data
An agent-based multi-level model to study the spread of antimicrobial-resistant gonorrhoea
Correlations of Length Distributions between Non-coding and Coding Sequences of Arabidopsis thaliana
LayoutDualGAN: Advancing Automated Drug Nanoparticle Phenotyping via Enhanced Pairwise Image-Mask Synthesis
Causal Attention-Based Lightweight and Efficient Cervical Cancer Cell Detection Model
Knowledge Enhanced Coreference Resolution via Gated Attention
MFGB: Molecular Properties Prediction leveraging Self-supervised Morgan Fingerprint Representation Learning
A normalization method for multiple reaction monitoring (MRM) data
ProXplore: A GPU-Enhanced Protein Discovery Engine
An Unsupervised Framework for Detecting Early Signs of Illness in Eldercare
A software pipeline for multiple microarray data analysis
Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining
An Improved Method for Phenotype Concept Recognition Using Rich HPO Information
On the Development of a Tool for Tongue Images Analysis
Prediction of human protein kinase substrate specificities
Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path
Populating Local Minima in the Protein Conformational Space
MBC-DTA: A Multi-Scale Bilinear Attention with Contrastive Learning Framework for Drug-Target Binding Affinity Prediction
RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning
Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches
Comparative Analysis of Attention-based Models for Drug-Target Interaction Prediction
An integrated Medical CPS for early detection of paroxysmal sympathetic hyperactivity
Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters
EEG Data Analysis for Intellectual Developmental Disorder
Effect of acupuncture on the blood glucose and insulin in the obese rats
Identifying functional evolution processes of cancer according to regression residuals network
Objects Affect Where We Look: Improving Human Attention Prediction Using Extra Data
FACExplainer: Generating Model-faithful Explanations for Graph Neural Networks Guided by Spatial Information
Finding genomic features from enriched regions in ChlP-Seq data
A Data-Driven Approach for the Analysis of Behavioral Disorders With a Focus on Classification and Severity Estimation
Contrastive Self-Supervised Representation Learning for Protein Complexes Identification
Using nonlinear sparse Bayesian learning model to identify the correlation between multiple clinical cognitive scores and neuroimaging measurements
Hybrid method inference for the construction of cooperative regulatory network in human
Weighted syncmer sampling improves long-read mapping
Patient information extraction in noisy tele-health texts
Predicting the effect of genes on longevity with novel hierarchical dependency-constrained tree augmented naïve Bayes classifiers
Analysis of 903 voice signals of patients with five organs illness and normal persons in traditional Chinese medicine auscultation
Medical Extractive Question-Answering Based on Fusion of Hierarchical Features
SmartSpaghetti: Use of smart devices to solve health care problems
Bacterial named entity recognition based on dictionary and conditional random field
Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter
Fast and Accurate Genome-Scale Identification of DNA-Binding Sites
A novel resource management approach for paramedic triage systems
Tiled regression reduces type I error rates in tests of association of rare single nucleotide variants with non-normally distributed traits, compared with simple linear regression
Large-scale analysis of RNA-DNA interactions
A Deep Learning Model for 16S rRNA Classification with Taxonomic Tree Embedding
Significance analysis by minimizing false discovery rate
Fully Automated Left Atrial Segmentation from MR Image Sequences Using Deep Convolutional Neural Network and Unscented Kalman Filter
Fast and scalable off-target assessment for CRISPR guide RNAs using partial matches
Private Federated Framework for Health Data
Acquisition of diabetes-related biological associations using a motif based network: Preliminary results
Ranking Metrics for Genomic Regions
A ROI-based algorithm for the classification of PET neuroimages
Medical Language Mixture of Experts for Improving Medical Image Segmentation
NSC-NSGA2: Optimal search for finding multiple thresholds for nearest shrunken centroid
Hypothesis Generation and Evaluation in Clinical Trial Design
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images
Exploring the molecular mechanism of Juan-Bi-Tang for Feng-Han-Shi-Bi syndrome in rheumatoid arthritis
PFCA-Net: a post-fusion based cross-attention model for predicting PCa Gleason Group using multiparametric MRI
Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world
MeSH term-based semantic analysis of microRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia
Diagnosis based on decision tree and discrimination analysis for chronic hepatitis b in TCM
Discovering SARS-CoV-2 genes and mutations adapted for humans in 2594 genomes
A model to predict and analyze protein-protein interaction types using electrostatic energies
Treating Non-infectious Fever after Orthopedic Surgery by nourishing yin: An inspiration from systematized identification of warm diseases
Study about the feature of some parts of the Traditional Chinese Medicine(TCM) physical examination correlate with the indexes of the renal function
mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer
Studying Cardiac infection by tracking clinical data flow: experiences using a REDCap instance
Bioinformatics analysis of miRNAs identifies enrichment of axon guidance pathway genes in ovarian cancer stem cells
A fast and precise speech-triggered tongue animation system by combining parameterized model and anatomical model
OptSelect: An algorithm for ensemble feature selection and stability assessment
Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network
Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor Detection
Text-To-AMP: Antimicrobial Peptide Design Guided by Natural Text
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering
3D Neuron Branch Points Detection in Microscopy Images
Identification of Dementia Related Brain Functional Networks with Minimum Spanning Trees
Leveraging the k-Nearest Neighbors classification algorithm for Microbial Source Tracking using a bacterial DNA fingerprint library
MTL-SSU: A Multi-Task Self-Supervised Learning Framework for Epileptic Seizure Prediction
FAM: Fully Attention Module for Medical Image Segmentation
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations
Discovery at a distance: Farther journeys in predication space
Evaluating Precisicon and Recall through the Utility of msTALI via an Active Site Study on Fold Families
Impact of FOSB on Tumor Microenvironment and Immunotherapy in Pan-Cancer
CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity *
A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation
The influence of acupuncture therapy on early rehabilitation following anterior cruciate ligament reconstruction: A randomized controlled trial
OO-LSTM: A trusted medical transfers prediction model with on-chain and off-chain data fusion
Energy-based modeling in BioNetGen
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data
Pseudo-Siamese Neural Network Based Graph and Sequence Representation Learning for Molecular Property Prediction
Estimating isoform abundance by Particle Swarm Optimization
Wavelet and PCA for Metabolic Network Comparison
Combinative Bio-feature Proteins Generation via Pre-trained Protein Large Language Models
Multimodal attention-based variational autoencoder for clinical risk prediction
Cluster tree based multi-label classification for protein function prediction
Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction
Social Media Mining and Analysis to support authorities in COVID-19 pandemic preparedness
Omics feature learning for cross individual ALS disease identification with EMG signal
Analysis for doubly repeated omics data from crossover design
Quantitative assessment of interstitial lung disease based on RDNet convolutional network
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction
Machine Learning to Predict Overeating from Macronutrient Composition
The Construction of a Knowledge Graph for System Functional Specification Standards in the Field of Traditional Chinese Medicine
System dynamics modeling of childhood obesity
Study on intelligent syndrome differentiation in Traditional Chinese Medicine based on information fusion technology
Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers
A Formative Usability Study to Improve Prescriptive Systems for Bioinformatics Big Data
MR Image Analysis to Differentiate Salivary Gland Tumors. a Preliminary Study
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation
Dynamic Aging Weight Scheme for Trust Model in Internet of Medical Things
Single-cell mRNA Profiles in PBMC
K-Mer Fingerprinting with RNN to predict MICs for K. pneumoniae
Optic Disc Hemorrhage Detection via A Novel Position-Guided Attention Network with Small Samples on Fundus Images
Modeling and Simulation of anakinra effects on severe COVID19 Patients
Structure-based protein family signature: Efficient comparison of multidomain proteins
EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics
AP-1 Network Shared in Pathways of Rheumatoid Arthritis Subtyped Liver-kidney Deficiency Characterize the Pathology
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
SSE: Scale-adaptive Soft Erase Weakly Supervised Segmentation Network for Thyroid Ultrasound Images
Type 2 Diabetes Gene Identification Using an Integrated Approach from Single-Cell RNA Sequencing Data
Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing
Quadratic Spreading of Monkeypox Infections Dictated by the Diffusion Equation: The Case of Central Europe
CSIFNet: Deep multimodal network based on cellular spatial information fusion for survival prediction
Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference
Dataset reconstruction for protein interface identification using manifold learning method
Modified Linear Fascicle Evaluation (mLiFE) for Improving the Fiber Tractography of Stroke Patients using Diffusion MRI
Explanation of machine learning models for predicting obesity level using Shapley values
BioNER-CFEM: Biomedical Named Entity Recognition Based on Character Feature Enhancement with Multimodal Method
An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs
Pathway Analysis for SNP microarray data
Protein function prediction using graph neural network with multi-type biological knowledge
Genome wide computational prediction and analysis of noncoding genome of corrosive biofilm forming Oleidesulfovibrio alaskensis G20
A Dual-Modal Contrastive Learning Framework for Antimicrobial Peptides Classification
A Semi-supervised Approach for Early Identifying the Abnormal Carotid Arteries Using a Modified Variational Autoencoder
A comparison between hierarchical clustering and community detection method in the collection of gene targets for molecular identification of pathogenic fungi
Protein-protein interaction extraction based on actively transfer learning
Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation
Syndrome differentiation of fatty liver based on the whole network analysis theory
Bio-Signal Based Multimodal Fusion with Bilinear Model for Emotion Recognition
Spatial-temporal Consistency Constraint for Depth and Ego-motion Estimation of Laparoscopic Images
Viral quasispecies reconstruction from amplicon 454 pyrosequencing reads
Ontology-based knowledge acquisition for neuromotor functional recovery in stroke
PMDF: Preference-based Multimodal Deep Forest for Overall Survival Prediction in Gastric Cancer
Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion
Enhancing miRNA-Disease Prediction with Attention-Based Multi-View Contrastive Learning
Improved microarray data analysis using feature selection methods with machine learning methods
Analysis for Early Seizure Detection System Based on Deep Learning Algorithm
Graph-Aware Unsupervised Feature Scoring Using Reconstruction Errors in GNN Embeddings
LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing
Identifying inconsistencies in multiple clinical practice guidelines for a patient with co-morbidity
Module detection for bacteria based on spectral clustering of protein-protein functional association networks
Performing local network alignment by ensembling global aligners
Enhancing Sulphate Reducing Bacteria Clustering by Implementing UMAP on Raman Spectroscopy Data
Negatively-Associated Maximal Frequent Geneset Mining on DNA Methylation Profile
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing
Recognizing drosha processing sites by a two-step prediction model with structure and sequence information
RIC: Ranking with Interaction Chains and Its Application in Computational Clinical Proteomics Studies
A Dual-stage Teacher-Student Representation Learning Framework for Semi-supervised Cardiac Image Segmentation
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors
Challenge in Classification of Depressive Symptoms Using Actigraphy Data
Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer
Repositioning Molecules of Chinese Medicine to Targets of SARS-Cov-2 by Deep Learning Method
STARGATE: Spatial Transcriptomic Analysis with Recurrent and Graph Attention Techniques using Ensemble Learning
Characterizing The Landscape Of Viral Expression In Cancer By Deep Learning
Qualitative Motif Detection in Gene Regulatory Networks
Fuzzy kernel-free support vector machine and applications in medicine
A Statistical Approach To Correlating Environmental and Demographic Factors to Cancer Incidences Across U.S. Counties
Discovering multifactorial associations with the development of age-related cataract using contrast mining
A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks
An integrated workflow for proteome-wide off-target identification and polypharmacology drug design
LMDTA: Molecular Pre-trained and Interaction Fine-tuned Attention Neural Network for Drug-Target Affinity Prediction
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information
Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs
Mining repetitive sequences using a big data ecosystem
2D ViT and 1D CRNN-based Heart Sound Signals Detection Model
MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker
Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification
eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data
DiffLGE: Diffusion-Based Image Generation for Synthesizing Late Gadolinium Enhancement Scans
A network-based analysis of genes related to comorbidities in diabetes
KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences
Application of data mining technology in analysis of characteristics of Chinese medicine to treat cervical spondylotic myelopathy
m 6 A peak calling accounting for varying sequencing bias across regions and samples
Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression
DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine
Adopting the MapReduce framework to pre-train 1-D and 2-D protein structure predictors with large protein datasets
Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module
Utilizing Negative Markers for Identifying Mycobacteria Species based on Mass Spectrometry with Machine Learning Methods
TANTIGEN 2.0: an online database and analysis platform for tumor T cell antigens
Predicting miRNA-disease associations via multi-channel graph convolutional networks
A GRReat framework for incident response in healthcare
Identification of Depression with a Semi-supervised GCN based on EEG Data
Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images
KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency
Wellbeing as a proxy for a mHealth study
Study on clinical terminology extraction of traditional Chinese medicine based on internal aggregation and boundary degree of freedom of character strings
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure
Use of fuzzy sets, aggregation operators and multi agent systems to simulate COVID-19 transmission in a context of absence of barrier gestures and social distancing: application to an island region
A Deep Predictive Model in Healthcare for Inpatients
Sparse Scanning Electron Microscopy for Imaging and Segmentation in Connectomics
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer
Classification models for CaCo-2 permeability using chemical information and machine learning techniques: Scope and limitations
Integrating Heterogeneous Biological Networks and Ontologies for Improved Protein Function Prediction with Graph Neural Networks
Structure identification and parameter estimation of biological s-systems
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data
Human-Machine Integration to Enhance Clinical Typing and Fine-Grained Interpretation of Cervical OCT Images
Investigating the pattern of syndrome based on the difference of symptom network in depression
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
Essential protein discovery based on network node correlation and invalidating protein node
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response
Classifying gene coexpression networks using state subnetworks
Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation
A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence
MAT: Medical AI-generated Text Detection Dataset from Multi-models and Multi-Methods
An End-to-End Multi-stage Network for Ultrasound Video Object Segmentation
Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on cloud
IXAmed-IE: On-line medical entity identification and ADR event extraction in Spanish
A simulation model of glucose-insulin metabolism and implementation on OSG
Study on the Rule of Diagnosis and Treatment of Primary Epilepsy in Ancient Medical Cases
TC-6mA-Pred: Prediction of DNA N6-Methyladenine Sites Using CNN with Transformer
Artificial Intelligence Based Detection of COVID-19 Pneumonia Using CT Scan and X-ray Images: A Comparative study
Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images
SMARTSync: Towards patient-driven medication reconciliation
Correlation networks: Biologically driven relationships from gene expression data
PBSalign: Sequence-independent local alignment of protein binding sites
Global analysis of miRNA target genes in colon rectal cancer
DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records
ProKinO: A Framework for Protein Kinase Ontology
Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis
A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram
MDDM: A Resource for Differential Methylation in Cancer