Data-driven inference of crosstalk in the tumor microenvironment
U. Ghoshdastider, M. M. Naeini, N. Rohatgi, E. Revkov, A. Wong, S. Solai, T. T. Nguyen, J. Yeong, J. Iqbal, P. H. Tan, B. Chowbay, R. DasGupta, A. Jacobsen Skanderup
The paper develops a data-driven method to deconvolute bulk tumor transcriptomes and predict cancer-stromal crosstalk in 20 solid tumor types, revealing new insights into signaling patterns.
bioRxiv · Jun 15, 2020 · PreprintCancer Biology