A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

We start with the fully processed molecular phenotype matrix. In this tutorial, we use the fully processed gene expression matrix for Colon - Transverse from GTEx V8 (2020) as an example. In GTEx’s ...

Researchers at the University of California San Diego have developed a large-scale screening approach that identifies ...

Reactive oxygen species (ROS) produced naturally during cellular metabolism often cause oxidative damage to cells. However, these molecules also play an important role in normal cellular signaling.

As genome editing therapies move through clinical trials to regulatory approval, scientists continue the quest for the holy ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

genesorteR is an R package for single cell data analysis. It calculates a specificity score to rank all genes in each cell cluster. It can then use this ranking to find sets of marker genes or to find ...

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