cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20307448
title: Additional file 2 of Comparative genomics of the plant-growth promoting bacterium Sphingobium sp. strain AEW4 isolated from the rhizosphere of the beachgrass Ammophila breviligulata

description: Additional file 2.Average Nucleotide Identity (ANI) and Average Amino Acid Identity (AAI)values among selectedSphingobiumspecies
DOI: 10.6084/m9.figshare.20307448.v1
title: Additional file 2 of Comparative genomics of the plant-growth promoting bacterium Sphingobium sp. strain AEW4 isolated from the rhizosphere of the beachgrass Ammophila breviligulata

description: Additional file 2.Average Nucleotide Identity (ANI) and Average Amino Acid Identity (AAI)values among selectedSphingobiumspecies
DOI: 10.6084/m9.figshare.20307451
title: Additional file 3 of Comparative genomics of the plant-growth promoting bacterium Sphingobium sp. strain AEW4 isolated from the rhizosphere of the beachgrass Ammophila breviligulata

description: Additional file 3. Complete list of unique proteins and clusters identified through OrthoVennanalysis comparingSphingobium sp. strain AEW4 with SphingobiumxenophagumandSphingobium hydrophobicum.
DOI: 10.6084/m9.figshare.20307451.v1
title: Additional file 3 of Comparative genomics of the plant-growth promoting bacterium Sphingobium sp. strain AEW4 isolated from the rhizosphere of the beachgrass Ammophila breviligulata

description: Additional file 3. Complete list of unique proteins and clusters identified through OrthoVennanalysis comparingSphingobium sp. strain AEW4 with SphingobiumxenophagumandSphingobium hydrophobicum.
DOI: 10.6084/m9.figshare.19968581
title: Sepsis due to Yersinia enterocolitica in an aborted equine fetus: case report

description: ABSTRACT Yersinia enterocolitica is a bacterium with zoonotic potential and there are no previous records of this bacteria being isolated from aborted foals. This report aims to describe a case of sepsis due to Y. enterocolitica in a seven month old aborted equine. The fequinoetus was submitted to necropsy and samples of all the organs were collected for the histological exam. Samples of liver, lung, placenta, and stomach contents were collected for bacterial culture. Macroscopically, the liver was enlarged with yellowish heterogeneous color, heart with pale myocardial areas; lungs not collapsed, heavy and shiny, thickened umbilical cord covered with fibrin and pus. Histopathologically, there was moderate multifocal necrosuppurative myocarditis and thrombosis, moderate diffuse suppurative bronchopneumonia, mild multifocal fibrinonecrotic hepatitis, and moderate diffuse necrosuppurative omphalitis with intralesional bacterial myriads and thrombosis. Mild multifocal suppurative placentitis, nephritis, myositis, cystitis, and dermatitis were also observed, in addition to mild diffuse lymphoid rarefaction. The microbiological evaluation identified Y. enterocolitica in the liver, lung, and stomach fluid. This is the first report of sepsis due to Y. enterocolitica causing an abortion in a horse. This bacterium has zoonotic importance; therefore, it should be investigated in abortion in this species, serving as a differential diagnosis in reproductive disorders.
DOI: 10.6084/m9.figshare.19968581.v1
title: Sepsis due to Yersinia enterocolitica in an aborted equine fetus: case report

description: ABSTRACT Yersinia enterocolitica is a bacterium with zoonotic potential and there are no previous records of this bacteria being isolated from aborted foals. This report aims to describe a case of sepsis due to Y. enterocolitica in a seven month old aborted equine. The fequinoetus was submitted to necropsy and samples of all the organs were collected for the histological exam. Samples of liver, lung, placenta, and stomach contents were collected for bacterial culture. Macroscopically, the liver was enlarged with yellowish heterogeneous color, heart with pale myocardial areas; lungs not collapsed, heavy and shiny, thickened umbilical cord covered with fibrin and pus. Histopathologically, there was moderate multifocal necrosuppurative myocarditis and thrombosis, moderate diffuse suppurative bronchopneumonia, mild multifocal fibrinonecrotic hepatitis, and moderate diffuse necrosuppurative omphalitis with intralesional bacterial myriads and thrombosis. Mild multifocal suppurative placentitis, nephritis, myositis, cystitis, and dermatitis were also observed, in addition to mild diffuse lymphoid rarefaction. The microbiological evaluation identified Y. enterocolitica in the liver, lung, and stomach fluid. This is the first report of sepsis due to Y. enterocolitica causing an abortion in a horse. This bacterium has zoonotic importance; therefore, it should be investigated in abortion in this species, serving as a differential diagnosis in reproductive disorders.
DOI: 10.6084/m9.figshare.20307568
title: Additional file 16 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 16: Table S3. Primers for genotyping. The sequences of primers for genotyping wild-type or mutant alleles of HET/KO mouse lines.
DOI: 10.6084/m9.figshare.20307568.v1
title: Additional file 16 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 16: Table S3. Primers for genotyping. The sequences of primers for genotyping wild-type or mutant alleles of HET/KO mouse lines.
DOI: 10.6084/m9.figshare.20307571
title: Additional file 17 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 17: Table S4. Primers for cloning. The sequences of primers for cloning human UBE2J1, human RNF133, human UBE2C, human RNF151, mouse Ube2J1, mouse Rnf133, and human RNF133-mutant.
DOI: 10.6084/m9.figshare.20307571.v1
title: Additional file 17 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 17: Table S4. Primers for cloning. The sequences of primers for cloning human UBE2J1, human RNF133, human UBE2C, human RNF151, mouse Ube2J1, mouse Rnf133, and human RNF133-mutant.
DOI: 10.6084/m9.figshare.20307574
title: Additional file 18 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 18. Raw data. This file contains raw data with individual data of replicates for Figs. 2A, 3A-B, 4C, 4E, S5, S6, S7, S8, S9, and S10 (i.e., those experiments in which n &lt; 6).
DOI: 10.6084/m9.figshare.20307574.v1
title: Additional file 18 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 18. Raw data. This file contains raw data with individual data of replicates for Figs. 2A, 3A-B, 4C, 4E, S5, S6, S7, S8, S9, and S10 (i.e., those experiments in which n &lt; 6).
DOI: 10.6084/m9.figshare.20307580
title: Additional file 1 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 1: Table S1. Primers for RT-PCR. Human and mouse RT-PCR primer sequences used for verification of expression in reproductive tract.
DOI: 10.6084/m9.figshare.20307580.v1
title: Additional file 1 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 1: Table S1. Primers for RT-PCR. Human and mouse RT-PCR primer sequences used for verification of expression in reproductive tract.
DOI: 10.6084/m9.figshare.20307604
title: Additional file 6 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 6: Table S2. The single-guide RNAs (sgRNAs) to generate KO mice. The sequences of sgRNAs targeting mouse Zswim2, Rnf133, Rnf148, and Rnf151.
DOI: 10.6084/m9.figshare.20307604.v1
title: Additional file 6 of The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice

description: Additional file 6: Table S2. The single-guide RNAs (sgRNAs) to generate KO mice. The sequences of sgRNAs targeting mouse Zswim2, Rnf133, Rnf148, and Rnf151.
DOI: 10.6084/m9.figshare.20307631.v1
title: Additional file 1 of Improving the communication skills of medical students ——A survey of simulated patient-based learning in Chinese medical universities

description: Additional file 1.
DOI: 10.6084/m9.figshare.20307631
title: Additional file 1 of Improving the communication skills of medical students ——A survey of simulated patient-based learning in Chinese medical universities

description: Additional file 1.
DOI: 10.6084/m9.figshare.20307637
title: Additional file 2 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file2. The details for 31 cancer types used in this work.
DOI: 10.6084/m9.figshare.20307637.v1
title: Additional file 2 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file2. The details for 31 cancer types used in this work.
DOI: 10.6084/m9.figshare.20307643
title: Additional file 3 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file3. The known driver gene lists used in this work.
DOI: 10.6084/m9.figshare.20307643.v1
title: Additional file 3 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file3. The known driver gene lists used in this work.
DOI: 10.6084/m9.figshare.20307652.v1
title: Additional file 5 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file5. The linkages between significant drivers and hallmarks of cancer using CancerGeneNet online database
DOI: 10.6084/m9.figshare.20307646
title: Additional file 4 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file4. The top 200 candidate driver genes predicted by DriverRWH, MutsigCV, Gravity, OncodriveFML, Dawnrank, Subdyquency, : and MinNetRank for three cancer types (LUSC, BRCA, UCEC).
DOI: 10.6084/m9.figshare.20307646.v1
title: Additional file 4 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file4. The top 200 candidate driver genes predicted by DriverRWH, MutsigCV, Gravity, OncodriveFML, Dawnrank, Subdyquency, : and MinNetRank for three cancer types (LUSC, BRCA, UCEC).
DOI: 10.6084/m9.figshare.20307652
title: Additional file 5 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file5. The linkages between significant drivers and hallmarks of cancer using CancerGeneNet online database
DOI: 10.6084/m9.figshare.20307655
title: Additional file 6 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file6. The gene-drug analysis results of significant drivers using iGMDR online database
DOI: 10.6084/m9.figshare.20307655.v1
title: Additional file 6 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file6. The gene-drug analysis results of significant drivers using iGMDR online database
DOI: 10.6084/m9.figshare.20307661
title: Additional file 7 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file7. The details of 24 tools and the criteria for candidate driver genes.
DOI: 10.6084/m9.figshare.20307661.v1
title: Additional file 7 of DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

description: Additional file7. The details of 24 tools and the criteria for candidate driver genes.
DOI: 10.6084/m9.figshare.20292279
title: Data and software for "Relative feedback increases disparities in effort and performance in crowdsourcing contests"

description: Aggregated data and Python and R scripts for the analyses for the article "Relative feedback increases disparities in effort and performance in crowdsourcing contests" published in <em>Proceedings of the ACM on Human-Computer Interaction.</em>
DOI: 10.6084/m9.figshare.20079089
title: Supplementary Material for: Reference Database of Inner Retinal Layer Thickness and Thickness Asymmetry In Healthy Thai Adults as Measured by The Spectralis Spectral-Domain Optical Coherence Tomography

description: Purpose: To determine a reference database of the thickness and intraocular thickness asymmetry of total retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) in healthy Thai subjects measured by the Spectralis spectral-domain optical coherence tomography Methods: This cross-sectional study recruited the healthy subjects age ≥18 years, having spherical refraction within ±6 diopters and cylindrical refraction ±3 diopters, from a hospital’s personnel and the people accompanying patients visiting the ophthalmology department. If the eligibility criteria were met for both eyes, only 1 eye of each subject was randomly selected for an analysis. Macular images were obtained using posterior pole thickness scan protocol over a 24x24 degree area at the center of the fovea. The automated retinal thickness segmentation values of total retina and three inner retinal layers were calculated for the mean and the mean intraocular thickness difference between superior and inferior retinal hemispheres. The influence of age, gender, and axial length on thickness and thickness asymmetry of individualized retinal layer were evaluated. Results: Two hundred and fifty-two subjects were included in study with a mean (SD) age of 46.7 (15.8) years and 120 (47.6%) were males. According to the Early Treatment Diabetic Retinopathy Study map, the inner ring area was the thickest location of the total retina (range; 326.0 to 341.5 µm), ganglion cell layer (range; 47.7 to 52.7 µm), and inner plexiform layer (range; 39.9 to 42.1 µm); whereas the thickest location of RNFL was at the outer ring area (range; 18.8 to 47.5 µm). For posterior pole intraocular thickness asymmetry, the greatest mean ± SD difference was observed for total retina (9.0 ± 2.2 µm), followed by RNFL (9.9 ± 3.2 µm), and GCL (2.7 ± 0.6 µm) and the lowest mean difference was noted for IPL (2.4 ± 0.5 µm). The thickness and thickness asymmetry of each retinal layer were variably influenced by age, gender, and axial length; however, these factors had a minimal influence on the thickness asymmetry maps of GCL and RNFL. Conclusion: The reference database of the macular thickness and thickness asymmetry from this study would be beneficial in determining physiologic variations of the OCT parameters in the healthy Thai population.
DOI: 10.6084/m9.figshare.20079089.v1
title: Supplementary Material for: Reference Database of Inner Retinal Layer Thickness and Thickness Asymmetry In Healthy Thai Adults as Measured by The Spectralis Spectral-Domain Optical Coherence Tomography

description: Purpose: To determine a reference database of the thickness and intraocular thickness asymmetry of total retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) in healthy Thai subjects measured by the Spectralis spectral-domain optical coherence tomography Methods: This cross-sectional study recruited the healthy subjects age ≥18 years, having spherical refraction within ±6 diopters and cylindrical refraction ±3 diopters, from a hospital’s personnel and the people accompanying patients visiting the ophthalmology department. If the eligibility criteria were met for both eyes, only 1 eye of each subject was randomly selected for an analysis. Macular images were obtained using posterior pole thickness scan protocol over a 24x24 degree area at the center of the fovea. The automated retinal thickness segmentation values of total retina and three inner retinal layers were calculated for the mean and the mean intraocular thickness difference between superior and inferior retinal hemispheres. The influence of age, gender, and axial length on thickness and thickness asymmetry of individualized retinal layer were evaluated. Results: Two hundred and fifty-two subjects were included in study with a mean (SD) age of 46.7 (15.8) years and 120 (47.6%) were males. According to the Early Treatment Diabetic Retinopathy Study map, the inner ring area was the thickest location of the total retina (range; 326.0 to 341.5 µm), ganglion cell layer (range; 47.7 to 52.7 µm), and inner plexiform layer (range; 39.9 to 42.1 µm); whereas the thickest location of RNFL was at the outer ring area (range; 18.8 to 47.5 µm). For posterior pole intraocular thickness asymmetry, the greatest mean ± SD difference was observed for total retina (9.0 ± 2.2 µm), followed by RNFL (9.9 ± 3.2 µm), and GCL (2.7 ± 0.6 µm) and the lowest mean difference was noted for IPL (2.4 ± 0.5 µm). The thickness and thickness asymmetry of each retinal layer were variably influenced by age, gender, and axial length; however, these factors had a minimal influence on the thickness asymmetry maps of GCL and RNFL. Conclusion: The reference database of the macular thickness and thickness asymmetry from this study would be beneficial in determining physiologic variations of the OCT parameters in the healthy Thai population.
DOI: 10.48370/ofd/hoavws/1wqf4p
title: 4941.S3Dm

description: :unav
DOI: 10.48370/ofd/hoavws/wagza7
title: FMW_Peniophorella pubera_M_4941 (3).JPG

description: :unav
DOI: 10.48370/ofd/hoavws/cmxfhk
title: FMW_Peniophorella pubera_M_4941 (2).JPG

description: :unav
DOI: 10.48370/ofd/hoavws/psi1jw
title: FMW_Peniophorella pubera_M_4941.JPG

description: :unav
DOI: 10.48370/ofd/qks4ht/mnijd6
title: 4399.S3Dm

description: :unav
DOI: 10.48370/ofd/hoavws
title: Peniophorella pubera (Fr.) P. Karst., 4941

description: Fungarium Makromycetes
DOI: 10.48370/ofd/qks4ht/j5xvmj
title: FMW_Peniophorella pubera_M_4399.JPG

description: :unav
DOI: 10.48370/ofd/qks4ht/5xdlam
title: FMW_Peniophorella pubera_M_4399 (2).JPG

description: :unav
DOI: 10.48370/ofd/qks4ht
title: Peniophorella pubera (Fr.) P. Karst., 4399

description: Fungarium Makromycetes
DOI: 10.48370/ofd/z99a7u/3t3x8b
title: 4316_1.S3Dm

description: :unav
DOI: 10.48370/ofd/z99a7u/fx3uts
title: 4316_2.S3Dm

description: :unav
DOI: 10.48370/ofd/z99a7u/d9da5x
title: FMW_Peniophorella pubera_M_4316.JPG

description: :unav
DOI: 10.48370/ofd/z99a7u/nfruse
title: FMW_Peniophorella pubera_M_4316 (2).JPG

description: :unav
DOI: 10.48370/ofd/yyklgn/qnzpej
title: 4291_1.S3Dm

description: :unav
DOI: 10.48370/ofd/z99a7u
title: Peniophorella pubera (Fr.) P. Karst., 4316

description: Fungarium Makromycetes
DOI: 10.48370/ofd/yyklgn/ceypvw
title: 4291_2.S3Dm

description: :unav
DOI: 10.48370/ofd/yyklgn/weqrm4
title: FMW_Peniophorella pubera_M_4291 (2).JPG

description: :unav
DOI: 10.48370/ofd/yyklgn/qufqlv
title: FMW_Peniophorella pubera_M_4291 (3).JPG

description: :unav
DOI: 10.48370/ofd/yyklgn/dxs5k5
title: FMW_Peniophorella pubera_M_4291.JPG

description: :unav
DOI: 10.48370/ofd/yyklgn
title: Peniophorella pubera (Fr.) P. Karst., 4291

description: Fungarium Makromycetes
DOI: 10.48370/ofd/c7kboh/fntnzh
title: 3883.S3Dm

description: :unav
DOI: 10.48370/ofd/c7kboh/n75zsj
title: FMW_Peniophorella pubera_M_3883 (3).JPG

description: :unav
DOI: 10.48370/ofd/c7kboh/1epqjx
title: FMW_Peniophorella pubera_M_3883 (2).JPG

description: :unav
DOI: 10.48370/ofd/c7kboh/5xednc
title: FMW_Peniophorella pubera_M_3883 (4).JPG

description: :unav
DOI: 10.48370/ofd/c7kboh/nwbc0k
title: FMW_Peniophorella pubera_M_3883.JPG

description: :unav
DOI: 10.48370/ofd/c7kboh
title: Peniophorella pubera (Fr.) P. Karst., 3883

description: Fungarium Makromycetes
DOI: 10.6084/m9.figshare.20306445
title: Datasets fo DeepDrug

description: DeepDrug is a deep learning framework, using residual graph convolutional networks (RGCNs) and convolutional networks (CNNs) to learn the comprehensive structural and sequential representations of drugs and proteins in order to boost the drug-drug interactions(DDIs) and drug-target interactions(DTIs) prediction accuracy. DeepDrug is available at https://github.com/wanwenzeng/deepdrug. This repository includes processed Datasets for DeepDrug. Each dataset folder is constructed by : <strong>Drug/</strong> : drug SMILEs (<strong>drug.csv</strong>) and processed graph featrues (<strong>processed/data.pt</strong>). <strong>Target/ </strong>(only for DTI task) : target sequences (<strong>target.csv</strong>) and processed graph featrues (<strong>processed/data.pt</strong>). <strong>Binary_1vsX/</strong> or <strong>mutliclass/ </strong>or <strong>regression/ </strong>: DDI or DTI pairs (<strong>entry_pairs.csv</strong>), corresponding labels (<strong>pair_labels.csv</strong>) and 5-fold cross validation used in the research (<strong>cv_5fold.pkl</strong>).
DOI: 10.48370/ofd/ym8jma/aliclc
title: 3706.S3Dm

description: :unav
DOI: 10.48370/ofd/ym8jma/rabzzy
title: FMW_Peniophorella pubera_M_3706 (2).JPG

description: :unav
DOI: 10.48370/ofd/ym8jma/ypibrh
title: FMW_Peniophorella pubera_M_3706.JPG

description: :unav
DOI: 10.48370/ofd/ym8jma/eglxui
title: FMW_Peniophorella pubera_M_3706 (3).JPG

description: :unav
DOI: 10.48370/ofd/ym8jma
title: Peniophorella pubera (Fr.) P. Karst., 3706

description: Fungarium Makromycetes
DOI: 10.48370/ofd/fdg6ft/vfnmzh
title: 721.S3Dm

description: :unav
DOI: 10.48370/ofd/fdg6ft/6owpdt
title: FMW_Peniophorella pubera_M_0721 (3).JPG

description: :unav
DOI: 10.48370/ofd/fdg6ft/khzcus
title: FMW_Peniophorella pubera_M_0721.JPG

description: :unav
DOI: 10.48370/ofd/fdg6ft/ixnzcm
title: FMW_Peniophorella pubera_M_0721 (2).JPG

description: :unav
DOI: 10.48370/ofd/fdg6ft
title: Peniophorella pubera (Fr.) P. Karst., 721

description: Fungarium Makromycetes
DOI: 10.48370/ofd/uoxqgy/fzymce
title: 625.S3Dm

description: :unav
DOI: 10.48370/ofd/uoxqgy/poivxv
title: FMW_Peniophorella pubera_M_0625 (3).JPG

description: :unav
DOI: 10.48370/ofd/uoxqgy/iuzduw
title: FMW_Peniophorella pubera_M_0625.JPG

description: :unav
DOI: 10.48370/ofd/uoxqgy/wpmuhd
title: FMW_Peniophorella pubera_M_0625 (2).JPG

description: :unav
DOI: 10.48370/ofd/uoxqgy
title: Peniophorella pubera (Fr.) P. Karst., 625

description: Fungarium Makromycetes
DOI: 10.6084/m9.figshare.20307973
title: Additional file 1 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 1: Results of markers detection for MCA-Spleen dataset with sc2marker and other competing mehtods.
DOI: 10.6084/m9.figshare.20307973.v1
title: Additional file 1 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 1: Results of markers detection for MCA-Spleen dataset with sc2marker and other competing mehtods.
DOI: 10.6084/m9.figshare.20307979
title: Additional file 2 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 2: Results of markers detection for MCA-Lung dataset with sc2marker and other competing methods.
DOI: 10.48370/ofd/vwlf6p/t7oe0i
title: 4880.S3Dm

description: :unav
DOI: 10.6084/m9.figshare.20307985.v1
title: Additional file 3 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 3: Results of markers detection for HCA-Lung&PBMC dataset with sc2marker and other competing methods.
DOI: 10.6084/m9.figshare.20307979.v1
title: Additional file 2 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 2: Results of markers detection for MCA-Lung dataset with sc2marker and other competing methods.
DOI: 10.6084/m9.figshare.20307988
title: Additional file 4 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 4: Results of markers detection for HCA-BM dataset with sc2marker and other competing methods.
DOI: 10.6084/m9.figshare.20307988.v1
title: Additional file 4 of Detection of cell markers from single cell RNA-seq with sc2marker

description: Additional file 4: Results of markers detection for HCA-BM dataset with sc2marker and other competing methods.