Speeding up Genome-Wide Association Analyses Applying Parallel Computing

by Unitsa Sangket
Published 2016

Bases feature extraction for promoter prediction using maximum weighting from neural networks

by Unitsa Sangket, Wiphada Wettayaprasit, Alisa Nugkaew, Amornrat Phongdara, Wilaiwan Chotigeat
Published 2011

ParallABEL: An R library for generalized parallelization of genome-wide association studies

by Unitsa Sangket, Surakameth Mahasirimongkol, Wasun Chantratita, Pichaya Tandayya, Yurii S. Aulchenko
Published 2018

An efficient process for enhancing genotype imputation in Genome-wide association studies using high performance computing

by Kasikrit Damkliang, Pichaya Tandayya, Unitsa Sangket, Surakameth Mahasirimongkol, Ekawat Pasomsab
Published 2018

Parallelization of logic regression analysis on SNP-SNP interactions of a Crohn’s disease dataset model

by Unitsa Sangket, Surakameth Mahasirimongkol, Pichaya Tandayya, Surasak Sangkhathat, Wasun Chantratita, Qi, Liu, Yasui, Yutaka
Published 2017