Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion

SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs

(2021) Xudong Han et al.   BIOINFORMATICS

Identifying DNA ‐binding proteins based on multi‐features and LASSO feature selection

(2021) Shengli Zhang et al.   BIOPOLYMERS

rs1990622 variant associates with Alzheimer’s disease and regulates TMEM106B expression in human brain tissues

(2021) Yang Hu et al.   BMC Medicine

DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism

(2021) Duolin Wang et al.   NUCLEIC ACIDS RESEARCH

MUFFIN: multi-scale feature fusion for drug–drug interaction prediction

(2021) Yujie Chen et al.   BIOINFORMATICS

Free-form tumor synthesis in computed tomography images via richer generative adversarial network

(2021) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

EPSOL: sequence-based protein solubility prediction using multidimensional embedding

(2021) Xiang Wu et al.   BIOINFORMATICS

A heterogeneous network embedding framework for predicting similarity-based drug-target interactions

(2021) Qi An et al.   BRIEFINGS IN BIOINFORMATICS

Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease

(2021) Yang Hu et al.   Computational and Mathematical Methods in Medicine

Identification of glioblastoma molecular subtype and prognosis based on deep MRI features

(2021) Ran Su et al.   KNOWLEDGE-BASED SYSTEMS

UMAP-DBP: An Improved DNA-Binding Proteins Prediction Method Based on Uniform Manifold Approximation and Projection

(2021) Jinyue Wang et al.   PROTEIN JOURNAL

BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models

(2021) Hong-Liang Li et al.   NUCLEIC ACIDS RESEARCH

Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites

(2020) Zijie Shen et al.   BIOINFORMATICS

Application of deep learning methods in biological networks

(2020) Shuting Jin et al.   BRIEFINGS IN BIOINFORMATICS

Robust Transcription Factor Binding Site Prediction Using Deep Neural Networks

(2020) Kanu Geete et al.   Current Bioinformatics

DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences

(2020) Jiawei Li et al.   BRIEFINGS IN BIOINFORMATICS

Bioluminescent proteins prediction with voting strategy.

(2020) Shulin Zhao et al.   Current Bioinformatics

A Review on the Application of Deep Learning in Bioinformatics

(2020) Yongqing Zhang et al.   Current Bioinformatics

Predicting preference of transcription factors for methylated DNA using sequence information

(2020) Meng-Lu Liu et al.   Molecular Therapy-Nucleic Acids

A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD

(2020) Zhiyu Tao et al.   Computational and Mathematical Methods in Medicine

Prediction of transcription factors binding events based on epigenetic modifications in different human cells

(2020) Yan Huang et al.   Epigenomics

DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides

(2020) Jiawei Li et al.   IEEE Journal of Biomedical and Health Informatics

Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction

(2020) Zifan Guo et al.   Frontiers in Bioengineering and Biotechnology

Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks

(2020) Yan Zhu et al.   BRIEFINGS IN BIOINFORMATICS

ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation

(2020) Lijun Cai et al.   BRIEFINGS IN BIOINFORMATICS

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

(2020) Ke Yan et al.   NEUROCOMPUTING

Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis

(2020) Zehua Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Protein Fold Recognition based on Multi-view Modeling

(2019) Ke Yan et al.   BIOINFORMATICS

Identification of DNA-binding proteins by multiple kernel support vector machine and sequence information

(2019) Yijie Ding et al.   Current Proteomics

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Current RNA-based Therapeutics in Clinical Trials

(2019) Ling-Yan Zhou et al.   CURRENT GENE THERAPY

MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule

(2019) Xiuquan Du et al.   JOURNAL OF PROTEOME RESEARCH

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

(2019) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

Prediction of Disease Comorbidity Using HeteSim Scores based on Multiple Heterogeneous Networks

(2019) Xuegong Chen et al.   CURRENT GENE THERAPY

FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule

(2019) Yi Zou et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Joint sample and feature selection via sparse primal and dual LSSVM

(2019) Yuan-Hai Shao et al.   KNOWLEDGE-BASED SYSTEMS

Predicting protein phosphorylation sites based on deep learning

(2019) Haixia Long et al.   Current Bioinformatics

Effect of Tumor Suppressor MiR-34a Loaded on ZSM-5 Nanozeolite in Hepatocellular Carcinoma: In Vitro and In Vivo Approach

(2019) Zeinab Salah et al.   CURRENT GENE THERAPY

PredPSD: A Gradient Tree Boosting Approach for Single-Stranded and Double-Stranded DNA Binding Protein Prediction

(2019) Changgeng Tan et al.   MOLECULES

Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion

(2019) Hao Wang et al.   NEUROCOMPUTING

A Consensus Community-Based Particle Swarm Optimization for Dynamic Community Detection

(2019) Xiangxiang Zeng et al.   IEEE Transactions on Cybernetics

Multi-View Support Vector Machines with the Consensus and Complementarity Information

(2019) Xijiong Xie et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function

(2018) Liang Cheng et al.   BIOINFORMATICS

DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC

(2018) M. Saifur Rahman et al.   JOURNAL OF THEORETICAL BIOLOGY

M6APred-EL: A sequence-based predictor for identifying N6-methyladenosine sites using ensemble learning

(2018) Leyi Wei et al.   Molecular Therapy-Nucleic Acids

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

Developing a Multi-Dose Computational Model for Drug-induced Hepatotoxicity Prediction based on Toxicogenomics Data

(2018) Ran Su et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Collaborative Learning-Based Clustered Support Vector Machine for Modeling of Nonlinear Processes Subject to Noise

(2018) Xinjiang Lu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers

(2018) Xiu-Juan Liu et al.   Genes

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

(2018) Balachandran Manavalan et al.   BIOINFORMATICS

A Review of DNA-binding Protein Prediction Methods

(2018) Kaiyang Qu et al.   Current Bioinformatics

Exposing the Causal Effect of C-Reactive Protein on the Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study

(2018) Liang Cheng et al.   Frontiers in Genetics

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC

(2018) Yinan Shen et al.   JOURNAL OF THEORETICAL BIOLOGY

Multi-view learning overview: Recent progress and new challenges

(2017) Jing Zhao et al.   Information Fusion

Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information

(2017) Leyi Wei et al.   INFORMATION SCIENCES

Identification of drug-target interactions via multiple information integration

(2017) Yijie Ding et al.   INFORMATION SCIENCES

Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer

(2017) Guanjin Wang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Multi-view L2-SVM and its multi-view core vector machine

(2016) Chengquan Huang et al.   NEURAL NETWORKS

IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity

(2016) Liang Cheng et al.   Oncotarget

A robust weighted least squares support vector regression based on least trimmed squares

(2015) Chuanfa Chen et al.   NEUROCOMPUTING

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

PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou’s PseAAC and Physicochemical Distance Transformation

(2014) Bin Liu et al.   Molecular Informatics

Improved and Promising Identification of Human MicroRNAs by Incorporating a High-Quality Negative Set

(2013) Leyi Wei et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Predicting human microRNA-disease associations based on support vector machine

(2013) Qinghua Jiang et al.   International Journal of Data Mining and Bioinformatics

iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model

(2011) Wei-Zhong Lin et al.   PLoS One

Protein functional class prediction using global encoding of amino acid sequence

(2009) Xi Li et al.   JOURNAL OF THEORETICAL BIOLOGY