Deep learning of the tissue-regulated splicing code

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

AVISPA: a web tool for the prediction and analysis of alternative splicing

(2013) Yoseph Barash et al.   GENOME BIOLOGY

Deep architectures for protein contact map prediction

(2012) Pietro Di Lena et al.   BIOINFORMATICS

Predicting protein residue–residue contacts using deep networks and boosting

(2012) Jesse Eickholt et al.   BIOINFORMATICS

Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data

(2012) Boyko Kakaradov et al.   BMC BIOINFORMATICS

Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

(2012) W. G. Touw et al.   BRIEFINGS IN BIOINFORMATICS

The Evolutionary Landscape of Alternative Splicing in Vertebrate Species

(2012) N. L. Barbosa-Morais et al.   SCIENCE

Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context

(2011) Hui Yuan Xiong et al.   BIOINFORMATICS

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The evolution of gene expression levels in mammalian organs

(2011) David Brawand et al.   NATURE

Deciphering the splicing code

(2010) Yoseph Barash et al.   NATURE

Analysis and design of RNA sequencing experiments for identifying isoform regulation

(2010) Yarden Katz et al.   NATURE METHODS

Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing

(2008) Qun Pan et al.   NATURE GENETICS

Splicing regulation: From a parts list of regulatory elements to an integrated splicing code

(2008) Z. Wang et al.   RNA