The quantity of tumor-infiltrating lymphocytes (TILs) in breast cancer (BC) is a robust
prognostic factor for improved patient survival, particularly in triple-negative and HER2-…

Single-cell RNA sequencing (scRNA-seq) data are noisy and sparse. Here, we show that
transfer learning across datasets remarkably improves data quality. By coupling a deep …

While single cell RNA sequencing (scRNA-seq) is invaluable for studying cell populations,
cell-surface proteins are often integral markers of cellular function and serve as primary …

Background Genetic variation in the human genome is a major determinant of individual
disease risk, but the vast majority of missense variants have unknown etiological effects. Here, …

Motivation Dropout is a common phenomenon in single-cell RNA-seq (scRNA-seq) data,
and when left unaddressed it affects the validity of the statistical analyses. Despite this, few …

Detecting epistatic drivers of human phenotypes is a considerable challenge. Traditional
approaches use regression to sequentially test multiplicative interaction terms involving pairs of …

Whereas protein language models have demonstrated remarkable efficacy in predicting the
effects of missense variants, DNA counterparts have not yet achieved a similar competitive …

Publisher Correction: Single-cell profiling of breast cancer T cells reveals a tissue-resident
memory subset associated with improved prognosis. - Abstract - Europe PMC Sign in | Create an …

Genetic variation in the human genome is a major determinant of individual disease risk,
but the vast majority of missense variants have unknown etiological effects. Various …

Objective: Patients with diabetes mellitus, diabetic nephropathy (DN) and healthy donor
were analyzed to test whether the early DN patients can be detected using both blood …