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2020 – today
- 2023
[j8]Thummarat Paklao, Apichat Suratanee, Kitiporn Plaimas:
ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology. BMC Bioinform. 24(1): 492 (2023)- [j7]Panisa Janyasupab, Apichat Suratanee
, Kitiporn Plaimas:
GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data. PeerJ Comput. Sci. 9: e1686 (2023) - 2022
- [j6]Piyanut Tangmanussukum, Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas:
Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction. PeerJ Comput. Sci. 8: e1124 (2022) - [d1]Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas:
Supplementary Materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations. IEEE DataPort, 2022
- 2021
- [j5]Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas:
Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations. IEEE Access 9: 41809-41820 (2021) - 2020
- [c4]Peemapat Wongsriphisant, Chidchanok Lursinsap, Apichat Suratanee, Kitiporn Plaimas:
A classification of biochemical compounds based on their primitive structures and graph kernels. JCSSE 2020: 104-109
2010 – 2019
- 2017
- [j4]Sasiporn Tongman, Suchart Chanama, Manee Chanama, Kitiporn Plaimas, Chidchanok Lursinsap:
Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling. Expert Syst. Appl. 88: 45-57 (2017) - 2014
- [j3]Apichat Suratanee, Kitiporn Plaimas:
Identification of inflammatory bowel disease-related proteins using a reverse k-nearest neighbor search. J. Bioinform. Comput. Biol. 12(4) (2014) - 2011
- [b1]Kitiporn Plaimas:
Computational Analysis of the Metabolic Network of Microorganisms to Detect Potential Drug Targets. Heidelberg University, Germany, 2011 - 2010
- [j2]Kitiporn Plaimas, Roland Eils, Rainer König:
Identifying essential genes in bacterial metabolic networks with machine learning methods. BMC Syst. Biol. 4: 56 (2010)
2000 – 2009
- 2008
- [j1]Kitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, Fabian Svara, Victor Sourjik, Roland Eils, Rainer König:
Machine learning based analyses on metabolic networks supports high-throughput knockout screens. BMC Syst. Biol. 2: 67 (2008) - 2007
- [c3]Kitiporn Plaimas, Marcus Oswald, Roland Eils, Rainer König:
Integrating Genomic and Transcriptomic Data into Graph Based Approaches for Defining Essential Reactions in the Metabolic Network of Escherichia Coli. LWA 2007: 55-60 - 2006
- [c2]Apichat Suratanee, Kodchakorn Na Nakornphanom, Kitiporn Plaimas, Chidchanok Lursinsap:
Partitioning for High Performance of Predicting Dynamical Behavior of Color Diffusion in Water using 2-D tightly Coupled Neural Cellular Network. HPSC 2006: 565-574 - 2005
- [c1]Kitiporn Plaimas, Chidchanok Lursinsap, Apichat Suratanee:
High Performance of Artificial Neural Network for Resolving Ambiguous Nucleotide Problem. IPDPS 2005
Coauthor Index
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