MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling

Protein Fold Recognition based on Multi-view Modeling

(2019) Ke Yan et al.   BIOINFORMATICS

Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning

(2019) Wei Zheng et al.   NEUROCOMPUTING

Multi-view low-rank matrix factorization using multiple manifold regularization

(2019) Shengxiang Gao et al.   NEUROCOMPUTING

Subspace clustering via structure-enforced dictionary learning

(2019) Jinjoo Song et al.   NEUROCOMPUTING

Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks

(2019) Xiangxiang Zeng et al.   Molecular Therapy-Nucleic Acids

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

(2019) Fuyi Li et al.   BIOINFORMATICS

A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features

(2019) Zhibin Lv et al.   Frontiers in Bioengineering and Biotechnology

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks

(2019) Chen-Chen Li et al.   BRIEFINGS IN BIOINFORMATICS

Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition

(2019) Jun Yu et al.   IEEE Transactions on Neural Networks and Learning Systems

Selecting Essential MicroRNAs Using a Novel Voting Method

(2019) Xiaoqing Ru et al.   Molecular Therapy-Nucleic Acids

Robust multi-view clustering via inter-and-intra-view low rank fusion

(2019) Yuchen Liang et al.   NEUROCOMPUTING

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition

(2019) Jun Yu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

(2018) Jiangning Song et al.   BRIEFINGS IN BIOINFORMATICS

Cancer Diagnosis Through IsomiR Expression with Machine Learning Method

(2018) Zhijun Liao et al.   Current Bioinformatics

HBPred: a tool to identify growth hormone-binding proteins

(2018) Hua Tang et al.   International Journal of Biological Sciences

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework

(2018) Jiangning Song et al.   JOURNAL OF THEORETICAL BIOLOGY

Discriminative and coherent subspace clustering

(2018) Huazhu Chen et al.   NEUROCOMPUTING

Low-rank representation with adaptive graph regularization

(2018) Jie Wen et al.   NEURAL NETWORKS

Predicting protein structural classes for low-similarity sequences by evaluating different features

(2018) Xiao-Juan Zhu et al.   KNOWLEDGE-BASED SYSTEMS

Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

(2018) Chaoqun Hong et al.   IEEE Transactions on Industrial Informatics

Incomplete Multiview Spectral Clustering With Adaptive Graph Learning

(2018) Jie Wen et al.   IEEE Transactions on Cybernetics

Protein remote homology detection and fold recognition based on Sequence-Order Frequency Matrix

(2017) Bin Liu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Low Rank Representation and Its Application in Bioinformatics

(2017) Yuan You et al.   Current Bioinformatics

Improving residue–residue contact prediction via low-rank and sparse decomposition of residue correlation matrix

(2016) Haicang Zhang et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

A comprehensive review and comparison of different computational methods for protein remote homology detection

(2016) Junjie Chen et al.   BRIEFINGS IN BIOINFORMATICS

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification

(2016) Zhao Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation

(2016) Junjie Chen et al.   Scientific Reports

Multimodal Deep Autoencoder for Human Pose Recovery

(2015) Chaoqun Hong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models

(2015) James Lyons et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

RPCA-Based Tumor Classification Using Gene Expression Data

(2015) Jin-Xing Liu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding

(2015) Lefei Zhang et al.   PATTERN RECOGNITION

Improving Protein Fold Recognition by Deep Learning Networks

(2015) Taeho Jo et al.   Scientific Reports

CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations

(2014) Stefan Seemayer et al.   BIOINFORMATICS

Improving protein fold recognition by random forest

(2014) Taeho Jo et al.   BMC BIOINFORMATICS

FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking

(2013) Dong Xu et al.   BIOINFORMATICS

A survey of multi-view machine learning

(2013) Shiliang Sun   NEURAL COMPUTING & APPLICATIONS

SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures

(2013) Naomi K. Fox et al.   NUCLEIC ACIDS RESEARCH

Inductive Robust Principal Component Analysis

(2012) Bing-Kun Bao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Robust Recovery of Subspace Structures by Low-Rank Representation

(2012) Guangcan Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates

(2011) Y. Yang et al.   BIOINFORMATICS

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

(2011) Michael Remmert et al.   NATURE METHODS

iPBA: a tool for protein structure comparison using sequence alignment strategies

(2011) Jean-Christophe Gelly et al.   NUCLEIC ACIDS RESEARCH

Improving taxonomy-based protein fold recognition by using global and local features

(2011) Jian-Yi Yang et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

(2009) Qiwen Dong et al.   BIOINFORMATICS