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Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

PloS one, 2017-09, Vol.12 (9), p.e0184129-e0184129

2017

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Gene expression differences among different MSI statuses in colorectal cancer

International journal of cancer, 2018-10, Vol.143 (7), p.1731-1740

2018

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Genetic differences among ethnic groups

BMC genomics, 2015-12, Vol.16 (1087), p.1093-1093, Article 1093

2015

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Identification of synthetic lethality based on a functional network by using machine learning algorithms

Journal of cellular biochemistry, 2019-01, Vol.120 (1), p.405-416

2019

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Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities

PloS one, 2012-04, Vol.7 (4), p.e35254

2012

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Protein‐protein interaction networks as miners of biological discovery

Proteomics (Weinheim), 2022-08, Vol.22 (15-16), p.e2100190-n/a

2022

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Predicting protein phenotypes based on protein-protein interaction network

PloS one, 2011-03, Vol.6 (3), p.e17668-e17668

2011

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Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes

International journal of molecular sciences, 2019-08, Vol.20 (17), p.4269

2019

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Predicting drug-target interaction networks based on functional groups and biological features

PloS one, 2010-03, Vol.5 (3), p.e9603

2010

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Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network

PloS one, 2012-04, Vol.7 (4), p.e33393-e33393

2012

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Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties

PloS one, 2011-01, Vol.6 (1), p.e14556-e14556

2011

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Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning Methods

BioMed research international, 2023-01, Vol.2023, p.5333361-13

2023

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Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway

PloS one, 2014-09, Vol.9 (9), p.e107202-e107202

2014

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

Journal of cellular biochemistry, 2018-04, Vol.119 (4), p.3394-3403

2018

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Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System

PloS one, 2015-05, Vol.10 (5), p.e0126492-e0126492

2015

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Gene expression profiling gut microbiota in different races of humans

Scientific reports, 2016-03, Vol.6 (1), p.23075-23075, Article 23075

2016

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Tissue Expression Difference between mRNAs and lncRNAs

International journal of molecular sciences, 2018-10, Vol.19 (11), p.3416

2018

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Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm

BioMed research international, 2016-01, Vol.2016, p.8351204-9

2016

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Tissue differences revealed by gene expression profiles of various cell lines

Journal of cellular biochemistry, 2019-05, Vol.120 (5), p.7068-7081

2019

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Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions

BioMed research international, 2022, Vol.2022, p.4035462-11

2022

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

BioMed research international, 2022-12, Vol.2022, p.5297235-11

2022

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An information-theoretic machine learning approach to expression QTL analysis

PloS one, 2013-06, Vol.8 (6), p.e67899-e67899

2013

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Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property

PloS one, 2011-09, Vol.6 (9), p.e25297-e25297

2011

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Prediction of antimicrobial peptides based on sequence alignment and feature selection methods

PloS one, 2011-04, Vol.6 (4), p.e18476-e18476

2011

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Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods

BioMed research international, 2022-08, Vol.2022, p.1-19

2022

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Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

Gene expression differences among different MSI statuses in colorectal cancer

Genetic differences among ethnic groups

Identification of synthetic lethality based on a functional network by using machine learning algorithms

Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities

Protein‐protein interaction networks as miners of biological discovery

Predicting protein phenotypes based on protein-protein interaction network

Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes

Predicting drug-target interaction networks based on functional groups and biological features

Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network

Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties

Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning Methods

Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway

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

Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System

Gene expression profiling gut microbiota in different races of humans

Tissue Expression Difference between mRNAs and lncRNAs

Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm

Tissue differences revealed by gene expression profiles of various cell lines

Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions

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

An information-theoretic machine learning approach to expression QTL analysis

Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property

Prediction of antimicrobial peptides based on sequence alignment and feature selection methods

Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods

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