Predicting protein-protein interactions using high-quality non-interacting pairs

Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks

(2018) Pichao Wang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences

(2017) Jun Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks

(2017) Xiuquan Du et al.   Journal of Chemical Information and Modeling

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

(2016) David R. Kelley et al.   GENOME RESEARCH

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

(2016) Lizhe Wang et al.   SOFT COMPUTING

Action Recognition From Depth Maps Using Deep Convolutional Neural Networks

(2016) Pichao Wang et al.   IEEE Transactions on Human-Machine Systems

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

(2015) Jian Zhou et al.   NATURE METHODS

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

(2014) Zhu-Hong You et al.   BMC BIOINFORMATICS

Representation Learning: A Review and New Perspectives

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

Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis

(2013) Philipp Blohm et al.   NUCLEIC ACIDS RESEARCH

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Structure-based prediction of protein–protein interactions on a genome-wide scale

(2012) Qiangfeng Cliff Zhang et al.   NATURE

Update on activities at the Universal Protein Resource (UniProt) in 2013

(2012)   NUCLEIC ACIDS RESEARCH

Predicting protein–protein interactions from protein sequences using meta predictor

(2010) Jun-Feng Xia et al.   AMINO ACIDS

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

(2010) Z.-H. You et al.   BIOINFORMATICS

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network

(2010) Zhu-Hong You et al.   BMC BIOINFORMATICS

Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors

(2010) Lei Yang et al.   PROTEIN AND PEPTIDE LETTERS

Sequence-Based Prediction of Protein-Protein Interactions by Means of Rotation Forest and Autocorrelation Descriptor

(2009) Jun-Feng Xia et al.   PROTEIN AND PEPTIDE LETTERS

Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences

(2008) Yanzhi Guo et al.   NUCLEIC ACIDS RESEARCH