Iterative pruning PCA improves resolution of highly structured populations. - Apichart Intarapanich; Philip James Shaw; Anunchai Assawamakin; Pongsakorn Wangkumhang; Chumpol Ngamphiw; Kridsadakorn Chaichoompu; Jittima Piriyapongsa; Sissades Tongsima (BMC Bioinform., 2009)

On Assigning Individuals from Cryptic Population Structures to Optimal Predicted Subpopulations: An Empirical Evaluation of Non-parametric Population Structure Analysis Techniques. - Pornchalearm Deejai; Anunchai Assawamakin; Pongsakorn Wangkumhang; Kanokwan Poomputsa; Sissades Tongsima (CSBio, 2010)

Unsupervised Algorithms for Population Classification and Ancestry Informative Marker Selection. - Apaporn Rodpan; Pongsakorn Wangkumhang; Anunchai Assawamakin; Santitham Prom-on; Sissades Tongsima (CSBio, 2010)

Iterative PCA for population structure analysis. - Tulaya Limpiti; Apichart Intarapanich; Anunchai Assawamakin; Pongsakorn Wangkumhang; Sissades Tongsima (ICASSP, 2011)

Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTURE. - Tulaya Limpiti; Apichart Intarapanich; Anunchai Assawamakin; Philip James Shaw; Pongsakorn Wangkumhang; Jittima Piriyapongsa; Chumpol Ngamphiw; Sissades Tongsima (BMC Bioinform., 2011)