Projects: pypi: matplotlib-venn
https://packages.ecosyste.ms/registries/pypi.org/packages/matplotlib-venn
Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib.
19 versions
Latest release: over 3 years ago
40 dependent packages
108,855 downloads last month
Enhanced Analysis
Educational Contributors:
aebrahim@ucsd.edu
Repository Activity:
Repository Owner:
Konstantin Tretyakov (user)
README Analysis:
Science Score: 85/100
Starting Score: 100 points
Bonuses:
-
+20
Educational commit emails
1 contributors with educational email addresses -
+4
Science terms in README
2 scientific terms found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-25
Non-science indicators
1 non-scientific terms found
Very Likely Science (85)
Papers Mentioning matplotlib-venn 5
10.1038/s42003-021-01941-5
CENP-A overexpression promotes distinct fates in human cells, depending on p53 statusCited by: 23
Author(s): Daniel Jeffery, Alberto Gatto, Katrina Podsypanina, Charlène Renaud-Pageot, Rebeca Ponce Landete, Lorraine Bonneville, Marie Dumont, Daniele Fachinetti, Geneviève Almouzni
Software Mentions: 12
Published: about 5 years ago
10.1038/srep41531
Transcriptomic analysis of common carp anterior kidney during Cyprinid herpesvirus 3 infection: Immunoglobulin repertoire and homologue functional divergenceCited by: 23
Author(s): Matthew J. Neave, Agus Sunarto, Kenneth A. McColl
Software Mentions: 7
Published: over 9 years ago
10.3389/fcimb.2021.663068
Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral CarcinogenesisCited by: 7
Author(s): Jiung Wen Chen, Jer Horng Wu, Wei Fan Chiang, Yuh Ling Chen, Wei Wu, Li-Wha Wu
Software Mentions: 4
Published: over 4 years ago
10.3389/fncel.2015.00373
Dual processing of sulfated steroids in the olfactory system of an anuran amphibianCited by: 13
Author(s): Alfredo Sansone, Thomas Hassenklöver, Thomas Offner, Xin Fu, Timothy E. Holy, Ivan Manzini
Software Mentions: 1
Published: over 10 years ago
10.1186/s13321-019-0376-1
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capabilityCited by: 26
Author(s): Oliver Laufkötter, Noé Sturm, Jürgen Bajorath, Hongming Chen, Ola Engkvist
Software Mentions: 1
Published: almost 7 years ago