Vladislav Kim

TL;DR: This work walks through an end-to-end gene-level RNA-Seq differential expression workflow using Bioconductor packages to perform exploratory data analysis (EDA) for quality assessment and to explore the relationship between samples.

TL;DR: This study overcomes the perception that most mutations do not influence drug response of cancer, and points to an updated approach to understanding tumor biology, with implications for biomarker discovery and cancer care.

TL;DR: In this article, the authors identify a distinct phenotype of regulatory T cells that was linked to ex vivo response independently from T-cell frequency at baseline and suggest drug combinations of high clinical relevance that could improve the efficacy of BsAbs.

TL;DR: In this article , the authors measured ex vivo sensitivity of 108 primary blood cancer samples to 50 drugs in monoculture and in coculture with bone marrow stromal cells and found that the effect sizes were lower in the coculture than in the mono-and coculture.