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 ...

For decades, depression has been explained to patients as a “chemical imbalance” in the brain, a vague phrase that never ...

Researchers at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins enables a more precise characterization of cell type's diversity into ...

When probes are inserted into the brain for research or clinical purposes, the electrical activity of neurons is recorded. These signals can be used to understand how the brain performs certain ...

Researchers headed by a team at the University of California, Irvine, Joe C. Wen School of Population & Public Health have built what they suggest is the first cell type-specific gene regulatory ...

An initiative partly funded by the Wellcome Trust Sanger Institute in the UK has moved further towards its goal of producing a 'human cell atlas' (HCA) to map every cell type in the human body.

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

For decades, scientists have known that major depressive disorder (MDD) has a genetic component. But the question remained: where in our genome do these risk factors exert their influence? Genetic ...

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 ...

Characterising all cell types in the human body is essential to understand how our tissues and organs work. This information can drive major advances in healthcare and medicine through a deep ...