Millions of people worldwide suffer from gum disease, yet we still don't fully understand how healthy gums turn into damaged, ...

The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

The Gabriella Miller Kids First Data Resource Center adds vital genomic data on rare childhood germ cell tumors in its newly released 37th study Gabriella Miller Kids First Data Resource Center The ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

New tool classifies cell types from single-cell RNA sequencing data with speed and accuracy, processing 650k cells in 6 minutes while capturing rare states. (Nanowerk News) Analyzing single-cell RNA ...

scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further ...

Formalin-fixed, paraffin-embedded (FFPE) tissues represent the predominant sample conservation method in clinical practice, yet degraded and crosslinked RNA has long limited whole-transcriptome ...

SAN FRANCISCO--(BUSINESS WIRE)--Tahoe Therapeutics today announced $30 million in new funding to build the definitive foundational dataset for training Virtual Cell Models. With this, the team will ...

Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...