อาจารย์ ดร.กิติพร พลายมาศ

Kitiporn Plaimas, Ph.D.

Lecturer

ข้อมูลการติดต่อ

Office: MATH 1108/4
Phone: 02-218-5220
Fax: 02-255-2287
Email: kitiporn.p@chula.ac.th

การศึกษา

2012 : Ph.D. (Applied Mathematics), University of Heidelberg, Germany
2005 : M.Sc. (Computational Science), Chulalongkorn University, Thailand
2002 : B.Sc. (Hons) (Mathematics), Mahidol University, Thailand

สาขางานวิจัย

  • Bioinformatics and Computational Biology
  • Systems Biology
  • Network Modelling
  • Mathematical Modelling

ผลงานตีพิมพ์

Full Articles

International Journals:

  • Suratanee, A. and Plaimas, K. (2014) Identification of Inflammatory Bowel Disease-Related Proteins Using a Reverse k-Nearest Neighbor Search, Journal of Bioinformatics and Computational Biology, Volume 12, No. 4, 2014, DOI: 10.1142/S0219720014500176.
  • Plaimas, K., Wang, Y., Rotimi, S.O., Olasehinde, G., Fatumo, S., Lanzer, M., Adebiyi, E., Koenig, R. (2013) Computational and experimental analysis of identified 6-diazo-5-oxonorleucine as a potential agent for treating infection by Plasmodium falciparum, Infection, Genetics and Evolution, Volume 20, December 2013, Pages 389–395.
  • Fatumo, S., Plaimas, K., Adebiyi, E. and König, R. (2011) Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico, Infect Genet Evol 11(1):201-208
  • Plaimas, K., Eils, R. and König, R. (2010) Identifying essential genes in bacterial metabolic networks with machine learning methods, BMC Systems Biology 4:56
  • Fatumo, S., Plaimas, K., Mallm, JP., Schramm, G., Adebiyi E., Oswald, M., Eils, R. and König R. (2009) Estimating novel potential drug targets of Plasmodium falciparum by analysing the metabolic network of knock-out strains in silico, Infect Genet Evol 9(3):351-358
  • Plaimas, K., Mallm, JP., Oswald, M., Svara, F., Sourjik, V., Eils, R. and König R. (2008) Machine learning based analyses on metabolic networks supports high- throughput knockout screens, BMC Syst Biol 2:67
  • Suratanee A., Na Nakornphanom K., Plaimas K. and Lursinsap C. (2008) Partitioning for High Performance of Predicting Dynamical Behavior of Color Diffusion in Water using 2-D tightly Coupled Neural Cellular Network, Modeling, Simulation and Optimization of Complex Processes:565-574

National Journals:

  • Khrueasan, N., Plaimas, K., Kositsup, B., Chaidee, A., Buaboocha, T., Siangliw, M., Toojinda, T. and Chadchawan S. (2013) Gene co-expression network of predicted salt tolerance region on chromosome 1 in rice (Oryza sativa L.), Thai Journal of Genetics, Volume 6, No.1, Jan-Jun 2013, pp. 30-35.

หนังสือ

Book chapters

Plaimas, K. and König, R. (2011) Machine Learning Methods for Identifying Essential Genes and Proteins in Networks, in Applied Statistics for Network Biology: Methods in Systems Biology (eds M. Dehmer, F. Emmert-Streib, A. Graber and A. Salvador), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527638079.ch10, pages 201-214

อื่นๆ


แก้ไขล่าสุด: 23 Jul 2014