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.
Breast cancer prevention by short-term inhibition of TGFβ signaling.
Aleckovic M*, Cristea S*, Del Alcazar CG*, Yan P, Ding L, Krop E, Harper N, Jimenez ER, Lu D, Gulvady A, Foidart P, Seehawer M, Diciaccio B, Murphy K, Pyrdol J, Anand J, Garza K, Wucherpfennig K, Tamimi R, Michor F+, Polyak K+ * Equal contribution. + Co-corresponding authors.
Published in Nature Communications: December 7, 2022.
Christina Noonan (Michor Lab Assistant)
Department of Data Science
Dana-Farber Cancer Institute
450 Brookline Ave
Boston, MA 02215, USA