Projects: pypi: gopca
https://packages.ecosyste.ms/registries/pypi.org/packages/gopca
GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge
6 versions
Latest release: almost 9 years ago
39 downloads last month
Enhanced Analysis
Educational Contributors:
florian.wagner@duke.edu
florian.wagner@nyu.edu
Repository Activity:
Repository Owner:
Florian Wagner (user)
Computational Biologist
Computational Biologist
README Analysis:
DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+40
Educational commit emails
2 contributors with educational email addresses -
+8
Science terms in README
4 scientific terms found in README -
+20
DOI references
2 DOI references found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning gopca 1
10.1371/journal.pone.0143196
GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior KnowledgeCited by: 27
Author(s): Florian Wagner
Software Mentions: 2
Published: over 10 years ago