Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Tathiane M Malta; Artem Sokolov; Andrew J Gentles; Tomasz Burzykowski; Laila Poisson; John N Weinstein; Bozena Kaminska; Joerg Huelsken; Larsson Omberg; Olivier Gevaert; Antonio Colaprico; Patrycja Czerwinska; Sylwia Mazurek; Lopa Mishra; Holger Heyn; Alex Krasnitz; Andrew K Godwin; Alexander J Lazar; Joshua M Stuart; Katherine A Hoadley; Peter W Laird; Houtan Noushmehr; Maciej Wiznerowicz

Journal article

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Tathiane M Malta, Artem Sokolov, Andrew J Gentles, Tomasz Burzykowski, Laila Poisson, John N Weinstein, Bozena Kaminska, Joerg Huelsken, Larsson Omberg, Olivier Gevaert, Antonio Colaprico, Patrycja Czerwinska, Sylwia Mazurek, Lopa Mishra, Holger Heyn, Alex Krasnitz, Andrew K Godwin, Alexander J Lazar, Joshua M Stuart, Katherine A Hoadley Show all

Cell | CELL PRESS | Published : 2018

DOI: 10.1016/j.cell.2018.03.034

University of Melbourne Researchers

Christopher Hovens Author Surgery - Royal Melbourne Hospital

Grants

Awarded by NIH

Awarded by NCI

Awarded by NIGMS

Awarded by Henry Ford Cancer Institute's Early Career Investigator Award

Awarded by Sao Paulo Research Foundation (FAPESP)

Awarded by FAPESP

Awarded by Henry Ford Hospital

Awarded by Spanish Institute of Health Carlos III

Awarded by CPRIT

Awarded by Polish Science Foundation Welcome grant

Funding Acknowledgements

We thank Marcin Cieslik from Michigan Center for Translational Pathology at University of Michigan for providing the MTE500 dataset. This work was supported by the following grants: NIH grants U54 HG003273, U54 HG003067, U54 HG003079, U24 CA143799, U24 CA143835, U24 CA143840, U24 CA143843, U24 CA143845, U24 CA143848, U24 CA143858, U24 CA143866, U24 CA143867, U24 CA143882, U24 CA143883, U24 CA144025, and P30 CA016672; NCI grants 5R01CA180778, 3U24CA143858, 1U24CA210990, 5U54HG006097, 1U24CA210949, and 1U24CA210950; NIGMS grant 5R01GM109031; the Henry Ford Cancer Institute's Early Career Investigator Award grant A20054 to T.M.M; Sao Paulo Research Foundation (FAPESP) grants 2014/02245-3 and 2016/01975-3 to T.M.M. and H.N.; FAPESP grants 2014/08321-3, 2015/07925-5, 2016/01389-7, 2016/10436-9, 2016/06488-3, 2016/12329-5, and 2016/15485-8, and Henry Ford Hospital grant A30935 to H.N.; Spanish Institute of Health Carlos III grant CP14/00229; Mary K. Chapman Foundation gift "Chapman Foundation Fund for Bioinformatics,'' CPRIT grant RP13039, and the Michael & Susan Dell Foundation grant "The Lorraine Dell Program in Bioinformatics'' to J.N.W.; and the Polish Science Foundation Welcome grant 2010/3-3 to M.W.