Sakda Khoomrung

Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data

Natapol Pornputtapong, Kwanjeera Wanichthanarak, Saharuetai Jeamsripong, 2019, Computational and structural biotechnology journal.

Deep metabolome: Applications of deep learning in metabolomics

Kwanjeera Wanichthanarak, Sakda Khoomrung, Yotsawat Pomyen, 2020, Computational and structural biotechnology journal.

Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine

Kwanjeera Wanichthanarak, Dmitry Grapov, Sakda Khoomrung, 2018, Omics : a journal of integrative biology.