DREAMER: a computational framework to evaluate readiness of datasets for machine learning. - Ahangaran, Meysam; Zhu, Hanzhi; Li, Ruihui; Yin, Lingkai; Jang, Joseph; Chaudhry, Arnav P.; Farrer, Lindsay A.; Au, Rhoda; Kolachalama, Vijaya B. (BMC Medical Informatics Decis. Mak., 2024)

Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. - Park, Jun Young; Lee, Jang Jae; Lee, Younghwa; Lee, Dongsoo; Gim, Jungsoo; Farrer, Lindsay A.; Lee, Kun Ho; Won, Sungho (Bioinform., 2023)

Bulk brain tissue cell-type deconvolution with bias correction for single-nuclei RNA sequencing data using DeTREM. - O'Neill, Nicholas K.; Stein, Thor D.; Hu, Junming; Rehman, Habbiburr; Campbell, Joshua D.; Yajima, Masanao; Zhang, Xiaoling; Farrer, Lindsay A. (BMC Bioinform., 2023)

Ttn as a likely causal gene for QTL of alcohol preference on mouse chromosome 2. - Wang, Lishi; Jiao, Yan; Huang, Yue; Bennett, Beth; Williams, Robert W.; Li, Dawei; Zhao, Hongyu; Gelernter, Joel; Kranzler, Henry R.; Farrer, Lindsay A.; Gu, Weikuan (BMC Bioinform., 2014)

Performance of random forest when SNPs are in linkage disequilibrium. - Meng, Yan A.; Yu, Yi; Cupples, L. Adrienne; Farrer, Lindsay A.; Lunetta, Kathryn L. (BMC Bioinform., 2009)