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Pongsakorn Wangkumhang
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2010 – 2019
- 2011
- [j2]Tulaya Limpiti, Apichart Intarapanich, Anunchai Assawamakin, Philip James Shaw, Pongsakorn Wangkumhang, Jittima Piriyapongsa, Chumpol Ngamphiw, Sissades Tongsima
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Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTURE. BMC Bioinform. 12: 255 (2011) - [c3]Tulaya Limpiti, Apichart Intarapanich, Anunchai Assawamakin, Pongsakorn Wangkumhang, Sissades Tongsima
Iterative PCA for population structure analysis. ICASSP 2011: 597-600 - 2010
- [c2]Pornchalearm Deejai, Anunchai Assawamakin, Pongsakorn Wangkumhang, Kanokwan Poomputsa, Sissades Tongsima
On Assigning Individuals from Cryptic Population Structures to Optimal Predicted Subpopulations: An Empirical Evaluation of Non-parametric Population Structure Analysis Techniques. CSBio 2010: 58-70 - [c1]Apaporn Rodpan, Pongsakorn Wangkumhang, Anunchai Assawamakin, Santitham Prom-on, Sissades Tongsima
Unsupervised Algorithms for Population Classification and Ancestry Informative Marker Selection. CSBio 2010: 208-216
2000 – 2009
- 2009
- [j1]Apichart Intarapanich, Philip James Shaw, Anunchai Assawamakin, Pongsakorn Wangkumhang, Chumpol Ngamphiw, Kridsadakorn Chaichoompu
Iterative pruning PCA improves resolution of highly structured populations. BMC Bioinform. 10: 382 (2009)
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