Tomas Bencomo (@bencomotomas) 's Twitter Profile
Tomas Bencomo

@bencomotomas

MD/PhD student @UW | Computational Biology & Cancer Immunology with @SettyM and @PaulNghiem

ID: 1081953670646779905

linkhttps://tjbencomo.github.io calendar_today06-01-2019 16:40:31

62 Tweet

111 Followers

439 Following

Tomas Bencomo (@bencomotomas) 's Twitter Profile Photo

Great examples of correlation vs causation. Gene expression also shouldn’t be dichotomized- a Cox regression with nonlinear spline makes more sense for continuous variables

Tomas Bencomo (@bencomotomas) 's Twitter Profile Photo

I just published my first Medium article! It covers mistakes ppl make doing survival analysis and is designed for students/researchers without a lot of statistics background - check it out if you analyze survival data! medium.com/p/kaplan-meier…

Dr. Carolyn Lee, MD/PhD (@carolynleemdphd) 's Twitter Profile Photo

Our work characterizing MAB21L4 as a tumor suppressor in skin and identifying RET activation as a targetable vulnerability in squamous cell carcinoma is here! My heartfelt thanks to Ankit Srivastava and Cristina Tommasi for leading this effort. aacrjournals.org/cancerres/arti…

Tomas Bencomo (@bencomotomas) 's Twitter Profile Photo

Excited to share our review of scRNA-seq applications to skin cancer with Dr. Carolyn Lee, MD/PhD Ankit Srivastava and Ishani Das! We cover recent findings in skin malignancies where single cell data played a key role and discuss popular analysis methods sciencedirect.com/science/articl…

BJD (@brjdermatol) 's Twitter Profile Photo

In this translational study, Tomas Bencomo and Dr. Carolyn Lee, MD/PhD reanalysed RNA sequencing data from cutaneous squamous cell carcinoma and its precursor lesions to define the transcriptome landscape at different stages of tumorigenesis. doi.org/10.1093/bjd/lj…

In this translational study, <a href="/BencomoTomas/">Tomas Bencomo</a> and <a href="/CarolynLeeMDPhD/">Dr. Carolyn Lee, MD/PhD</a> reanalysed RNA sequencing data from cutaneous squamous cell carcinoma and its precursor lesions to define the transcriptome landscape at different stages of tumorigenesis.

doi.org/10.1093/bjd/lj…