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2020 – today
- 2024
[j5]Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama:
DREAMER: a computational framework to evaluate readiness of datasets for machine learning. BMC Medical Informatics Decis. Mak. 24(1): 152 (2024)- 2023
- [j4]Jun Young Park
, Jang Jae Lee, Younghwa Lee, Dongsoo Lee, Jungsoo Gim, Lindsay A. Farrer, Kun Ho Lee, Sungho Won:
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinform. 39(9) (2023) - [j3]Nicholas K. O'Neill, Thor D. Stein, Junming Hu, Habbiburr Rehman, Joshua D. Campbell, Masanao Yajima, Xiaoling Zhang, Lindsay A. Farrer:
Bulk brain tissue cell-type deconvolution with bias correction for single-nuclei RNA sequencing data using DeTREM. BMC Bioinform. 24(1): 349 (2023)
2010 – 2019
- 2014
- [j2]Lishi Wang, Yan Jiao, Yue Huang, Beth Bennett, Robert W. Williams, Dawei Li, Hongyu Zhao, Joel Gelernter, Henry R. Kranzler, Lindsay A. Farrer, Weikuan Gu:
Ttn as a likely causal gene for QTL of alcohol preference on mouse chromosome 2. BMC Bioinform. 15(S-10): P12 (2014)
2000 – 2009
- 2009
- [j1]Yan A. Meng, Yi Yu, L. Adrienne Cupples, Lindsay A. Farrer, Kathryn L. Lunetta:
Performance of random forest when SNPs are in linkage disequilibrium. BMC Bioinform. 10 (2009)
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