Chris Sander

TL;DR: A prediction tool that inputs genomic profiles of primary surgical samples and generates patient-specific predictions for the time to recurrence and survival, along with outcome risk predictions and a prognostic index for patient risk stratification is provided.

TL;DR: PredictProtein was the first Internet server for protein predictions, and recently included predictions from deep learning embeddings (GO and secondary structure) and a method for the prediction of proteins and residues binding DNA, RNA, or other proteins.

TL;DR: In this paper, a search for heavy resonances decaying into a pair of bosons leading to the final states, where $$\ell $$¯¯ stands for either an electron or a muon, is presented.

TL;DR: Multimodality sequence analysis of DLPS revealed recurrent mutations and epigenetic abnormalities critical to liposarcomagenesis and to the suppression of adipocyte differentiation, revealing an unanticipated role for methylation abnormalities in DLPS tumors and suggesting demethylating agents as potential therapeutics.

TL;DR: This work has developed a test by deriving quantities with approximately constant value for all globular proteins, based on empirical analysis of the exposed and buried surfaces of 128 structurally known proteins, which shows the characteristic quantities that best appear to segregate badly designed or deliberately misfolded proteins from their properly folded natural relatives.