Binbin Chen

TL;DR: A primer on the CIBERSORT method is provided and its use for characterizing TILs in tumor samples profiled by microarray or RNA-Seq is illustrated.

TL;DR: It is shown that, although levels are very low in early-stage lung cancers, ctDNA is present prior to treatment in most patients and its presence is strongly prognostic, and a machine-learning method termed ‘lung cancer likelihood in plasma’ (Lung-CLiP) is developed, which can robustly discriminate early-Stage lung cancer patients from risk-matched controls.

TL;DR: Empath is a tool that can generate and validate new lexical categories on demand from a small set of seed terms, which draws connotations between words and phrases by deep learning a neural embedding across more than 1.8 billion words of modern fiction.

TL;DR: Emppath as mentioned in this paper is a tool that can generate and validate new lexical categories on demand from a small set of seed terms (like "bleed" and "punch" to generate the category violence).

TL;DR: This work discovers neoantigens in human mantle-cell lymphomas by using an integrated genomic and proteomic strategy that interrogates tumour antigen peptides presented by major histocompatibility complex (MHC) class I and class II molecules.