An eQTL biological data visualization challenge and approaches from the visualization community. - Christopher W. Bartlett; Soo Yeon Cheong; Liping Hou; Jesse Paquette; Pek Yee Lum; Günter Jäger; Florian Battke; Corinna Vehlow; Julian Heinrich; Kay Nieselt; Ryo Sakai; Jan Aerts; et al. (BMC Bioinform., 2012)

Addressing the unmet need for visualizing conditional random fields in biological data. - William C. Ray; Samuel L. Wolock; Nicholas W. Callahan; Min Dong; Qingshun Quinn Li; Chun Liang; Thomas J. Magliery; Christopher W. Bartlett (BMC Bioinform., 2014)

Neural Basis of Episodic Memory Development: Evidence from Single Nucleotide Polymorphisms. - Hyungwook Yim; Simon Dennis; Christopher W. Bartlett; Vladimir M. Sloutsky (CogSci, 2015)

Clinical exome sequencing reports: current informatics practice and future opportunities. - Rajeswari Swaminathan; Yungui Huang; Caroline Astbury; Sara Fitzgerald-Butt; Katherine Miller; Justin Cole; Christopher W. Bartlett; Simon M. Lin (J. Am. Medical Informatics Assoc., 2017)

Invasive Measurements Can Provide an Objective Ceiling for Non-invasive Machine Learning Predictions. - Christopher W. Bartlett; Jamie Bossenbroek; Yukie Ueyama; Patricia E. Mccallinhart; Aaron J. Trask; William C. Ray (SIGMAP, 2021)

Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data. - Christopher W. Bartlett; Jamie Bossenbroek; Yukie Ueyama; Patricia E. Mccallinhart; Olivia A. Peters; Donna A. Santillan; Mark K. Santillan; Aaron J. Trask; William C. Ray (SN Comput. Sci., 2023)