Single-cell RNA sequencing (scRNA-seq) has transformed the field of transcriptomics by making it possible for researchers to address fundamental questions that could not be tackled by bulk-level ...

Methods for depth normalization have been assessed primarily with simulated data or cell-line–mixture data. There is a pressing need for benchmark data enabling a more realistic and objective ...

This is a preview. Log in through your library . Abstract An intuitive normalization and gene identification method is proposed. After segmentation of the entire expression range into intensity ...

Extracting biomedical information from large metabolomic datasets by multivariate data analysis is of considerable complexity. Common challenges include among others screening for differentially ...

Early Completion of Model-Assisted Designs for Dose-Finding Trials Accurate assessment of a molecular classifier that guides patient care is of paramount importance in precision oncology. Recent years ...

Aldrin V. Gomes, Ph.D. Ning Liu Ph.D. A closer examination of housekeeping and other normalization techniques. In recent years, the scientific community has questioned the reliability of Western ...

Western blotting is one of the most ubiquitous procedures used in the life science research lab today. Commonly used to assess relative protein expression differences, accurate Western blot ...