High Performance of Artificial Neural Network for Resolving Ambiguous Nucleotide Problem. - Kitiporn Plaimas; Chidchanok Lursinsap; Apichat Suratanee (IPDPS, 2005)

Partitioning for High Performance of Predicting Dynamical Behavior of Color Diffusion in Water using 2-D tightly Coupled Neural Cellular Network. - Apichat Suratanee; Kodchakorn Na Nakornphanom; Kitiporn Plaimas; Chidchanok Lursinsap (HPSC, 2006)

Integrating Genomic and Transcriptomic Data into Graph Based Approaches for Defining Essential Reactions in the Metabolic Network of Escherichia Coli. - Kitiporn Plaimas; Marcus Oswald; Roland Eils; Rainer König (LWA, 2007)

Machine learning based analyses on metabolic networks supports high-throughput knockout screens. - Kitiporn Plaimas; Jan-Phillip Mallm; Marcus Oswald; Fabian Svara; Victor Sourjik; Roland Eils; Rainer König (BMC Syst. Biol., 2008)

Identifying essential genes in bacterial metabolic networks with machine learning methods. - Kitiporn Plaimas; Roland Eils; Rainer König (BMC Syst. Biol., 2010)

Computational Analysis of the Metabolic Network of Microorganisms to Detect Potential Drug Targets - Kitiporn Plaimas (2011)

Identification of inflammatory bowel disease-related proteins using a reverse k-nearest neighbor search. - Apichat Suratanee; Kitiporn Plaimas (J. Bioinform. Comput. Biol., 2014)

Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling. - Sasiporn Tongman; Suchart Chanama; Manee Chanama; Kitiporn Plaimas; Chidchanok Lursinsap (Expert Syst. Appl., 2017)

A classification of biochemical compounds based on their primitive structures and graph kernels. - Peemapat Wongsriphisant; Chidchanok Lursinsap; Apichat Suratanee; Kitiporn Plaimas (JCSSE, 2020)

Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations. - Thitipong Kawichai; Apichat Suratanee; Kitiporn Plaimas (IEEE Access, 2021)

Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction. - Piyanut Tangmanussukum; Thitipong Kawichai; Apichat Suratanee; Kitiporn Plaimas (PeerJ Comput. Sci., 2022)

Supplementary Materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations. - Thitipong Kawichai; Apichat Suratanee; Kitiporn Plaimas (IEEE DataPort, 2022)

GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data. - Panisa Janyasupab; Apichat Suratanee; Kitiporn Plaimas (PeerJ Comput. Sci., 2023)

ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology. - Thummarat Paklao; Apichat Suratanee; Kitiporn Plaimas (BMC Bioinform., 2023)