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Matthew H. Bailey’s research focuses on the computational identification of genomic alterations that drive disease progression. His most-cited lead-author work involves a comprehensive characterization of cancer driver genes and mutations across thousands of tumors, a study that has received nearly 600 citations. More recent outputs from his lab examine the intersection of rare pathogenic variants within large-scale population health databases. His indexed work also extends into neurobiology and diagnostics, including a recent investigation into the gene expression profiles of human microglia clones to clarify their cellular identity. Beyond his primary authorship, Bailey has contributed to major international consortia, including middle-author roles in the pan-cancer analysis of whole genomes and the mapping of the immune landscape of cancer. These collaborative efforts, often published in high-impact journals, have established foundational resources for survival outcome analytics and molecular classification. His broader portfolio reflects a career-long interest in medical diagnostics, ranging from early studies on delays in breast cancer diagnosis to contemporary phenome-wide association studies of electronic health records. Together, these works suggest a research trajectory dedicated to refining the accuracy of genomic medicine and improving the detection of complex pathologies through large-scale data integration.
Vésteinn Thorsson, David L Gibbs, Scott D Brown, Denise Wolf, Dante S Bortone, Tai-Hsien Ou Yang, Eduard Porta-Pardo, Galen F Gao, Christopher L Plaisier, James A Eddy, Elad Ziv, Aedin C Culhane, Evan O Paull, I K Ashok Sivakumar, Andrew J Gentles, Raunaq Malhotra, Farshad Farshidfar, Antonio Colaprico, Joel S Parker, Lisle E Mose, Nam Sy Vo, Jianfang Liu, Yuexin Liu, Janet Rader, Varsha Dhankani, Sheila M Reynolds, Reanne Bowlby, Andrea Califano, Andrew D Cherniack, Dimitris Anastassiou, Davide Bedognetti, Younes Mokrab, Aaron M Newman, Arvind Rao
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Francisco Sanchez-Vega, Marco Mina, Joshua Armenia, Walid K Chatila, Augustin Luna, Konnor C La, Sofia Dimitriadoy, David L Liu, Havish S Kantheti, Sadegh Saghafinia, Debyani Chakravarty, Foysal Daian, Qingsong Gao, Matthew H Bailey, Wen-Wei Liang, Steven M Foltz, Ilya Shmulevich, Li Ding, Zachary Heins, Angelica Ochoa, Benjamin Gross, Jianjiong Gao, Hongxin Zhang, Ritika Kundra, Cyriac Kandoth, Istemi Bahceci, Leonard Dervishi, Ugur Dogrusoz, Wanding Zhou, Hui Shen, Peter W Laird, Gregory P Way, Casey S Greene, Han Liang, Yonghong Xiao, Chen Wang, Antonio Iavarone, Alice H Berger, Trever G Bivona, Alexander J Lazar, Gary D Hammer, Thomas Giordano, Lawrence N Kwong, Grant McArthur, Chenfei Huang, Aaron D Tward, Mitchell J Frederick, Frank McCormick, Matthew Meyerson, Cancer Genome Atlas Research Network, Eliezer M Van Allen, Andrew D Cherniack, Giovanni Ciriello, Chris Sander, Nikolaus Schultz
ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium
Jianfang Liu, Tara Lichtenberg, Katherine A Hoadley, Laila M Poisson, Alexander J Lazar, Andrew D Cherniack, Albert J Kovatich, Christopher C Benz, Douglas A Levine, Adrian V Lee, Larsson Omberg, Denise M Wolf, Craig D Shriver, Vesteinn Thorsson, Cancer Genome Atlas Research Network, Hai Hu
Katherine A Hoadley, Christina Yau, Toshinori Hinoue, Denise M Wolf, Alexander J Lazar, Esther Drill, Ronglai Shen, Alison M Taylor, Andrew D Cherniack, Vésteinn Thorsson, Rehan Akbani, Reanne Bowlby, Christopher K Wong, Maciej Wiznerowicz, Francisco Sanchez-Vega, A Gordon Robertson, Barbara G Schneider, Michael S Lawrence, Houtan Noushmehr, Tathiane M Malta, Cancer Genome Atlas Network, Joshua M Stuart, Christopher C Benz, Peter W Laird