Yuan Chen

发表

Informative Gene Selection and Direct Classification of Tumor Based on Chi-Square Test of Pairwise Gene Interactions

Zhijun Dai, Zheming Yuan, Yuan Chen, 2014, BioMed research international.

A high-performance approach for predicting donor splice sites based on short window size and imbalanced large samples

Yuan Chen, Zheming Yuan, Ying Zeng, 2019, Biology Direct.

Nonlinear QSAR models with high-dimensional descriptor selection and SVR improve toxicity prediction and evaluation of phenols on Photobacterium phosphoreum

W. Zhou, Qingming Zhou, Yuan Chen, 2015 .

A Novel Method to Efficiently Highlight Nonlinearly Expressed Genes

Yuan Chen, Zheming Yuan, F. Luo, 2020, Frontiers in Genetics.

A New Algorithm to Optimize Maximal Information Coefficient

Zheming Yuan, Yuan Chen, Feng Luo, 2016, PloS one.

Genetic dissection of main and epistatic effects of QTL based on augmented triple test cross design

Lanzhi Li, Congwei Sun, Yuan Chen, 2017, PloS one.

Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection

Haiyan Wang, Yuan Chen, Zheming Yuan, 2015, Medical & Biological Engineering & Computing.

A clustering method for small scRNA-seq data based on subspace and weighted distance

Hongyan Zhang, Yuan Chen, Zhijun Dai, 2023, PeerJ.

An improved algorithm for the maximal information coefficient and its application

Zheming Yuan, Dan Cao, Yuan Chen, 2021, Royal Society Open Science.

High-accuracy QSAR models of narcosis toxicities of phenols based on various data partition, descriptor selection and modelling methods

Wei Zhou, Zhijun Dai, Zheming Yuan, 2016 .

QTL mapping for combining ability in different population-based NCII designs: a simulation study

Chenwu Xu, Lanzhi Li, Congwei Sun, 2013, Journal of Genetics.

Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes

Hongyan Zhang, Yuan Chen, Zheming Yuan, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes

Hongyan Zhang, Yuan Chen, Zheming Yuan, 2021, Interdisciplinary Sciences: Computational Life Sciences.

A fast approach to detect gene–gene synergy

Yuan Chen, Jun Gao, Lianyang Bai, 2017, Scientific Reports.

Discovering Pair-wise Synergies in Microarray Data

Jun Gao, Dan Cao, Yuan Chen, 2016, Scientific Reports.

Correction: Genetic dissection of main and epistatic effects of QTL based on augmented triple test cross design

Lanzhi Li, Congwei Sun, Yuan Chen, 2017, PloS one.

A pipeline for improved QSAR analysis of peptides: physiochemical property parameter selection via BMSF, near-neighbor sample selection via semivariogram, and weighted SVR regression and prediction

Haiyan Wang, Lifeng Wang, Yuan Chen, 2014, Amino Acids.

Modelling the effects of Wuhan’s lockdown during COVID-19, China

Zhenhai Zhang, Yuan Chen, Zhijun Dai, 2020, Bulletin of the World Health Organization.

A Chi-MIC Based Adaptive Multi-Branch Decision Tree

Zheming Yuan, Siqiao Tan, Jiang Yu, 2021, IEEE Access.

The Economic Impact from the Decreasing Population Mobility of China’s Mainland during the Epidemic

Jian Peng, Yuan Chen, Zheming Yuan, 2020 .

Chi-MIC-share: a new feature selection algorithm for quantitative structure–activity relationship models

Yuan Chen, Zhijun Dai, Zheming Yuan, 2020, RSC advances.

A new parameters joint optimization method of chaotic time series prediction

Yuan Chen, Wei Zhou, Zheming Yuan, 2011 .

Informative gene selection and the direct classification of tumors based on relative simplicity

Lifeng Wang, Hongyan Zhang, Yuan Chen, 2016, BMC Bioinformatics.

High-Dimensional Descriptor Selection and Computational QSAR Modeling for Antitumor Activity of ARC-111 Analogues Based on Support Vector Regression (SVR)

Wei Zhou, Zheming Yuan, Yuan Chen, 2012, International journal of molecular sciences.

Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection

Haiyan Wang, Wei Zhou, Yuan Chen, 2015, Medical & Biological Engineering & Computing.

iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier

Zheming Yuan, Ying Zeng, Yuan Chen, 2021, BioData Min..