Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction

OUP accepted manuscript

(2018)   BIOINFORMATICS

OUP accepted manuscript

(2018)   BIOINFORMATICS

Sequence, Structure, and Context Preferences of Human RNA Binding Proteins

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(2018) Yang Liu et al.   Cell Systems

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

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RCK: accurate and efficient inference of sequence- and structure-based protein–RNA binding models from RNAcompete data

(2016) Yaron Orenstein et al.   BIOINFORMATICS

Deep learning for computational biology

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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

A census of human RNA-binding proteins

(2014) Stefanie Gerstberger et al.   NATURE REVIEWS GENETICS

A compendium of RNA-binding motifs for decoding gene regulation

(2013) Debashish Ray et al.   NATURE

Protein–RNA interactions: new genomic technologies and perspectives

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RNAcontext: A New Method for Learning the Sequence and Structure Binding Preferences of RNA-Binding Proteins

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RNA-binding proteins and post-transcriptional gene regulation

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