Model: ryankeivanfar/DeepShape
Author: ryankeivanfar
Library: pytorch
Tags: pytorch, deep-learning, genomics, dna-sequence, dna-shape, transcription-factor, histone-marks, DNase, regulatory-elements, license:mit, model-index, region:us
Card metadata: license: mit
library_name: pytorch
tags: deep-learning, genomics, dna-sequence, dna-shape, transcription-factor, histone-marks, DNase, regulatory-elements
model-index: name: DeepShape
results: task: name: TF/DNase/Histone Binding Prediction
type: binary-classification
dataset: name: ENCODE + Roadmap Epigenomics (919 targets)
type: genomics
split: held-out chromosomes (validation: chr6/7, test: chr8/9)
metrics: name: AUROC (TF)
type: auc
value: 0.948
verified: no, name: AUPRC (TF)
type: average precision
value: 0.353
verified: no, name: AUROC (DNase)
type: auc
value: 0.907
verified: no, name: AUPRC (DNase)
type: average precision
value: 0.472
verified: no, name: AUROC (Histone)
type: auc
value: 0.85
verified: no, name: AUPRC (Histone)
type: average precision
value: 0.367
verified: no
Likes: 0 | All-time downloads: 0
Created: 2024-11-18 03:57:25