Phenograph for Python3

Default Boolean Operator: Terms in a search string will be connected by the AND operator, EXAMPLE: searching genomic melanoma will produce the same results as genomic AND melanoma .
AND, OR, NOT: Combine terms in a search with the boolean operators AND (to add specificity), OR (to broaden), or NOT (to eliminate a term). Operators must be capitalized (all other search terms are not case-sensitive).
Wild Card: Add wild card symbols * (open-ended) and ? (single character) to truncate terms. EXAMPLE: searching gen* shows results for 'gene', 'genetic', 'genomic, etc. Searching gene? returns results for 'gene' or 'genes' but not for 'genome'.
Phrase Searching: Enclose search in quotation marks "keyword or search term" to search for an exact phrase. EXAMPLE: "transcription factors" returns results for records where transcription is immediately followed by the word factors .
Diacritics: Words containing diacritics translate those characters to non-diacritic form. EXAMPLE: massague returns results for Massague&#769 .
Filter by: Located on the homepage (left panel), use filters to search for records or narrow the search. From search results page, filters can be removed by clicking on the term at the top of the page.

UID: 11459

Author(s): Levine, Jacob H., Simonds, Erin F., Bendall, Sean C., Davis, Kara L., Amir, El-ad D., Tadmor, Michelle D., Litvin, Oren, Fienberg, Harris G., Jager, Astraea, Zunder, Eli R., Finck, Rachel, Gedman, Amanda L., Radtke, Ina, Downing, James R., Pe'er, Dana*, Nolan, Garry P. * MSK affiliated

Description: Description from GitHub:

"PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph ("network") representing phenotypic similarities between cells and then identifying communities in this graph.

This software package includes compiled binaries that run community detection based on C++ code written by E. Lefebvre and J.-L. Guillaume in 2008 ("Louvain method"). The code has been altered to interface more efficiently with the Python code here. It should work on reasonably current Linux, Mac and Windows machines."

Previously found at https://github.com/jacoblevine/PhenoGraph ; now maintained by the Dana Pe'er Lab

Subject(s)

Do you have or know of a dataset that should be added to the catalog? Let us know!