Convolutional Neural Network Approach to Lung Cancer Classification Integrating Protein Interaction Network and Gene Expression Profiles

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

(2017) Sheng Wang et al.   PLoS Computational Biology

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

(2016) Xiaoyong Pan et al.   BMC GENOMICS

Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields

(2016) Sheng Wang et al.   Scientific Reports

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

(2015) Matt Spencer et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Improving Protein Fold Recognition by Deep Learning Networks

(2015) Taeho Jo et al.   Scientific Reports

Deep learning of the tissue-regulated splicing code

(2014) Michael K. K. Leung et al.   BIOINFORMATICS

Predicting protein residue–residue contacts using deep networks and boosting

(2012) Jesse Eickholt et al.   BIOINFORMATICS

Epigenome-wide association studies for common human diseases

(2011) Vardhman K. Rakyan et al.   NATURE REVIEWS GENETICS