Kaiyan Feng

发表

Prediction of protein-protein interactions based on PseAA composition and hybrid feature selection.

Bing Niu, Wencong Lu, Yudong Cai, 2009, Biochemical and biophysical research communications.

Prediction of Lysine Malonylation Sites Based on Pseudo Amino Acid.

Kaiyan Feng, Guohua Huang, Bo Liao, 2017, Combinatorial chemistry & high throughput screening.

Prediction of protein structural classes using hybrid properties

Wenjin Li, Kao Lin, Yudong Cai, 2008, Molecular Diversity.

Identifying and Analyzing Novel Epilepsy-Related Genes Using Random Walk with Restart Algorithm

Yang Jiang, Wei Guo, Shaopeng Wang, 2017, BioMed research international.

Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules

Tao Zeng, Yu-Dong Cai, Tao Huang, 2020, Frontiers in Bioengineering and Biotechnology.

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Lei Chen, Tao Huang, Yu-Dong Cai, 2019, Cancer Gene Therapy.

Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models

Xiaohua Hu, Xiaoyong Pan, Lei Chen, 2019, Front. Genet..

Identification of the Gene Expression Rules That Define the Subtypes in Glioma

Xiaoyong Pan, Lei Chen, Tao Huang, 2018, Journal of clinical medicine.

Identification of gene expression signatures across different types of neural stem cells with the Monte‐Carlo feature selection method

Lei Chen, Tao Huang, Yu-Dong Cai, 2018, Journal of cellular biochemistry.

A novel computational approach to predict transcription factor DNA binding preference.

Lin Lu, Jianfeng He, Wencong Lu, 2009, Journal of proteome research.

Cooperativity among Short Amyloid Stretches in Long Amyloidogenic Sequences

Yu-Dong Cai, Buyong Ma, B. Ma, 2012, PloS one.

Prediction of protein amidation sites by feature selection and analysis

Ning Zhang, Tao Huang, Lulu Zheng, 2013, Molecular Genetics and Genomics.

Prediction of tyrosine sulfation with mRMR feature selection and analysis.

Tao Huang, Shen Niu, Yudong Cai, 2010, Journal of proteome research.

Prediction of Pharmacological and Xenobiotic Responses to Drugs Based on Time Course Gene Expression Profiles

Tao Huang, Yu-Dong Cai, Yu-Dong Cai, 2009, PloS one.

Weighted passive nearest neighbor algorithm: A newly-developed supervised classifier

Yixue Li, Yudong Cai, Kaiyan Feng, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer’s Disease

Tao Zeng, Tao Huang, Kaiyan Feng, 2022, Frontiers in Neuroscience.

Network-Based Method for Identifying Co-Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues

Yu-Dong Cai, Xiangyin Kong, Tao Huang, 2017, Genes.

Alternative Polyadenylation Modification Patterns Reveal Essential Posttranscription Regulatory Mechanisms of Tumorigenesis in Multiple Tumor Types

Tao Zeng, Yu-Dong Cai, Tao Huang, 2020, BioMed research international.

Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method

Fei Huang, Tao Huang, Lei Chen, 2022, Life.

Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method

Fei Huang, Tao Huang, Hao Li, 2022, Frontiers in molecular biosciences.

Cooperativities Among Short Amyloid Stretches Within Long Amyloidogenic Sequence Segment

R. Nussinov, B. Ma, Yu-Dong Cai, 2012 .

Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2022, Frontiers in Microbiology.

Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8+ T cells

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2022, Frontiers in Genetics.

Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods

Tao Huang, Yudong Cai, Kaiyan Feng, 2022, Life.

Prediction of protein amidation sites by feature selection and analysis

Lele Hu, Tao Huang, Yixue Li, 2013, Molecular Genetics and Genomics.

Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines

Yu-Dong Cai, Tao Huang, Lei Chen, 2021, Frontiers in Cell and Developmental Biology.

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Xiangyin Kong, Tao Huang, Lei Chen, 2019, Cancer Gene Therapy.

Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection

Xiaohua Hu, Xiaoyong Pan, Yu Hang Zhang, 2018, Genes.

Predicting Citrullination Sites in Protein Sequences Using mRMR Method and Random Forest Algorithm.

Lin Lu, Yu-Dong Cai, Yu-Hang Zhang, 2017, Combinatorial chemistry & high throughput screening.

A committee of NNA classifiers for the prediction of the binding between miRNAs and the target genes using a novel coding method

Kaiyan Feng, Yudong Cai, ZhiSong He, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles

Tao Huang, Lei Chen, Yudong Cai, 2022, Life.

Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2022, BioMed research international.

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

Tao Huang, Lei Chen, Yudong Cai, 2022, Life.

Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods

Tao Zeng, Yu-Dong Cai, Tao Huang, 2021, BioMed research international.

Computationally identifying virulence factors based on KEGG pathways.

Lei Chen, Tao Huang, Lulu Zheng, 2013, Molecular bioSystems.

Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2023, Life.

Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods

Tao Huang, Yudong Cai, Kaiyan Feng, 2022, Biology.

Identification of genes related to immune enhancement caused by heterologous ChAdOx1–BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods

Fei Huang, Tao Huang, Kaiyan Feng, 2023, Frontiers in Immunology.

Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2023, Frontiers in Microbiology.

Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods

Tao Huang, Hao Li, Kaiyan Feng, 2023, Frontiers in Genetics.

Active and Passive Nearest Neighbor Algorithm: A Newly-Developed Supervised Classifier

Lei Liu, Yixue Li, Kairui Feng, 2011, ICIC.

Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells

Tao Huang, Lei Chen, Yudong Cai, 2023, Life.

Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores.

Fei Huang, Tao Huang, Lei Chen, 2023, Biochimica et biophysica acta. Proteins and proteomics.

Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution

Fei Huang, Tao Huang, Kaiyan Feng, 2023, Frontiers in Genetics.

Prediction of Protein Modification Sites of Pyrrolidone Carboxylic Acid Using mRMR Feature Selection and Analysis

Yu-Dong Cai, Kaiyan Feng, Shen Niu, 2011, PloS one.

Feasibility study of semiconductor sequencing for noninvasive prenatal detection of fetal aneuploidy.

Xin Yi, Wei Wang, Xinjie Huang, 2013, Clinical chemistry.

High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

Kaiyan Feng, Jinwen Feng, Qiaoling Wu, 2023, BMC Geriatrics.

Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm

Yuchao Zhang, Yu-Dong Cai, Jun Zhao, 2014, BioMed research international.

Prediction of interactiveness between small molecules and enzymes by combining gene ontology and compound similarity

Lei Chen, Ziliang Qian, Kaiyan Feng, 2009, J. Comput. Chem..

Investigation and Prediction of Human Interactome Based on Quantitative Features

Kaiyan Feng, Tao Huang, Lei Chen, 2020, Frontiers in Bioengineering and Biotechnology.

Identiﬁcation of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Tao Huang, Kaiyan Feng, Yunpeng Cai, 2022 .

Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods

Fei Huang, Kaiyan Feng, Yunpeng Cai, 2023, Life.

High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

Kaiyan Feng, Jinwen Feng, Qiaoling Wu, 2023, BMC Geriatrics.

High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

Kaiyan Feng, Jinwen Feng, Qiaoling Wu, 2023, BMC Geriatrics.

Identification of Colon Immune Cell Marker Genes Using Machine Learning Methods

Kaiyan Feng, Zhandong Li, Ji Ren, 2023, Life.

Extracting important information from Chinese Operation Notes with natural language processing methods

Lei Liu, Hui Wang, Qiang Zeng, 2014, J. Biomed. Informatics.

Prediction of peptidase category based on functional domain composition.

Yudong Cai, Wencong Lu, Kaiyan Feng, 2008, Journal of proteome research.

Analyzing domain features of small proteins using a machine-learning method.

Lei Chen, Kaiyan Feng, ShiJian Ding, 2024, Proteomics.

Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods

Lei Chen, Kaiyan Feng, Xianchao Zhou, 2023, Comput. Biol. Medicine.

Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung

Kaiyan Feng, Qinglan Ma, Tao Huang, 2024, Life.