Michor Laboratory

The Michor lab is interested in cancer evolution through the use of integrative data science, experimental, clinical, and population science approaches. We develop methodology to develop, analyze, and integrate diverse data types and design predictive algorithms using approaches from applied mathematics, statistics, bioinformatics, and machine learning.


Heterogeneity and transcriptional drivers of triple-negative breast cancer.

Jovanović B*, Temko D*, Stevens LE, Seehawer M, Fassl A, Murphy K, Anand J, Garza K, Gulvady A, Qiu X, Harper NW, Daniels VW, Xiao-Yun H, Ge JY, Alečković M, Pyrdol J, Hinohara K, Egri SB, Papanastasiou M, Vadhi R, Font-Tello A, Witwicki R, Peluffo G, Trinh A, Shu S, Diciaccio B, Ekram MB, Subedee A, Herbert ZT, Wucherpfennig KW, Letai A, Jaffe JD, Sicinski P, Brown M, Dillon D, Long HW, Michor F+, Polyak K+. * Equal contribution. + Co-corresponding authors.

Published in Cell Reports: December 26, 2023.

(Read more here)


Christina Noonan (Michor Lab Assistant)
Department of Data Science
Mailstop CLS-11007
Dana-Farber Cancer Institute
450 Brookline Ave
Boston, MA 02215, USA