List of works - Leyi Wei

A novel hierarchical selective ensemble classifier with bioinformatics application

scientific article published on 25 February 2017

A novel machine learning method for cytokine-receptor interaction prediction.

scientific article published on 10 November 2015

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

scientific article published on 01 December 2018

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides

scientific article published on 12 November 2019

An Improved Protein Structural Classes Prediction Method by Incorporating Both Sequence and Structure Information

scientific article published on 15 September 2014

Briefing in family characteristics of microRNAs and their applications in cancer research.

scientific article published on 14 August 2013

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

scientific article published on 17 September 2018

CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency

scientific article published on 24 April 2017

Construction, Model-Based Analysis, and Characterization of a Promoter Library for Fine-Tuned Gene Expression in Bacillus subtilis

article

Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

scientific article published on 14 February 2019

Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data

scientific article published on 23 July 2018

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

scientific article published on 13 March 2021

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

scientific article published on 10 January 2019

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

scientific article published on 01 April 2019

Fast prediction of protein methylation sites using a sequence-based feature selection technique.

scientific article published on 16 February 2017

Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods.

scientific article published on 22 September 2017

Identification of expression signatures for non-small-cell lung carcinoma subtype classification

scientific article published on 01 January 2020

Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.

scientific article published on 25 April 2017

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism

scientific article published on 01 February 2020

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

scientific article published on January 2014

Improved detection of DNA-binding proteins via compression technology on PSSM information.

scientific article published on 29 September 2017

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.

scientific article published on 4 March 2017

Iterative feature representations improve N4-methylcytosine site prediction

scientific article published on 01 December 2019

M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning

scientific article published on 09 July 2018

MiR-93-5p Promotes Cell Proliferation through Down-Regulating PPARGC1A in Hepatocellular Carcinoma Cells by Bioinformatics Analysis and Experimental Verification.

scientific article

MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy

scientific article published on 12 March 2019

PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning

scientific article published on 01 November 2019

PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only.

scientific article

Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition

scientific article

SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

scientific article published on 16 October 2017

Three-Dimensional Face Reconstruction Using Multi-View-Based Bilinear Model

scientific article published on 23 January 2019

UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.

scientific article published on 14 November 2017

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

scientific article published on 01 August 2019

List of works by Leyi Wei

A novel hierarchical selective ensemble classifier with bioinformatics application

A novel machine learning method for cytokine-receptor interaction prediction.

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides

An Improved Protein Structural Classes Prediction Method by Incorporating Both Sequence and Structure Information

Briefing in family characteristics of microRNAs and their applications in cancer research.

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency

Construction, Model-Based Analysis, and Characterization of a Promoter Library for Fine-Tuned Gene Expression in Bacillus subtilis

Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

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

Fast prediction of protein methylation sites using a sequence-based feature selection technique.

Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods.

Identification of expression signatures for non-small-cell lung carcinoma subtype classification

Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism

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

Improved detection of DNA-binding proteins via compression technology on PSSM information.

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.

Iterative feature representations improve N4-methylcytosine site prediction

M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning

MiR-93-5p Promotes Cell Proliferation through Down-Regulating PPARGC1A in Hepatocellular Carcinoma Cells by Bioinformatics Analysis and Experimental Verification.

MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy

PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning

PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only.

Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition

SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

Three-Dimensional Face Reconstruction Using Multi-View-Based Bilinear Model

UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.

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