DropViz

Aids users the use single-cell datasets. DropViz confronts cell types to one another, finds cell populations that express genes of interest and computes many kinds of analyses. It implements an analysis strategy based on independent components analysis (ICA). This method reduces large datasets to a smaller number of dimensions in which entities have score distributions that are maximally structured and statistically independent.

DropViz specifications

Dataset

Information

Unique identifier	OMICS_30484
Name	DropViz
Restrictions to use	None
Community driven	No
Data access	Browse
User data submission	Not allowed
Maintained	Yes

Maintainers

Arpiar Saunders
Evan Macosko
Steven McCarroll

Publication for DropViz

A Single-Cell Atlas of Cell Types, States, and Other Transcriptional Patterns from Nine Regions of the Adult Mouse Brain.

BioRxiv

DOI: 10.1101/299081

DropViz institution(s)

Department of Genetics, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA

DropViz funding source(s)

Supported by the Broad Institute’s Stanley Center for Psychiatric Research and by a Helen Hay Whitney Fellowship.

DropViz reviews

Be the first to review DropViz