GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.
about
WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data.Abundant contribution of short tandem repeats to gene expression variation in humans.Imputation for transcription factor binding predictions based on deep learningA sequence-based method to predict the impact of regulatory variants using random forest.Predicting gene expression in massively parallel reporter assays: A comparative study.GARLIC: a bioinformatic toolkit for aetiologically connecting diseases and cell type-specific regulatory maps.Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints.DNA Motif Recognition Modeling from Protein Sequences
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Q33789914-27EEFECB-01D9-48CC-A640-D155BBEEF0B3Q34504259-D31E407B-7240-401C-BE09-3434B8BA67F8Q36289441-94366483-F2BA-464C-A5C0-9BBDFD267721Q36329488-8FF64D2D-BD81-4EE2-A436-12B41316A99AQ38755095-6EEBBA41-DBFE-41C6-BAA7-D64F5ED32C63Q42290203-78B89CBB-262E-4533-B466-C75BBA940218Q47807128-2683EF9C-C25B-458E-9F11-5112EC16C375Q58753645-226782FA-76A2-42C7-9546-D0F7B8E6312C
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GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.
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name
GERV: a statistical method for ...... transcription factor binding.
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type
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GERV: a statistical method for ...... transcription factor binding.
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prefLabel
GERV: a statistical method for ...... transcription factor binding.
@en
P2093
P2860
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GERV: a statistical method for ...... r transcription factor binding
@en
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Daniel D Kang
David K Gifford
Tatsunori Hashimoto
P2860
P304
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10.1093/BIOINFORMATICS/BTV565
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P50
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2015-10-17T00:00:00Z