Projects: pypi: KDVS
https://packages.ecosyste.ms/registries/pypi.org/packages/KDVS
Knowledge Driven Variable Selection (KDVS) is an experimental knowledge extraction system that utilizes statistical learning and novel data and knowledge integration methodologies.
1 version
Latest release: over 12 years ago
9 downloads last month
Science Score: 90/100
Starting Score: 100 points
Bonuses:
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (90)
Papers Mentioning KDVS 3
10.1186/1751-0473-8-2
Knowledge Driven Variable Selection (KDVS) – a new approach to enrichment analysis of gene signatures obtained from high–throughput dataCited by: 7
Author(s): Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri
Software Mentions: 8
Published: over 13 years ago
10.3390/microarrays5020015
Enhancing Interpretability of Gene Signatures with Prior Biological KnowledgeCited by: 3
Author(s): Margherita Squillario, Matteo Barbieri, Alessandro Verri, Annalisa Barla
Software Mentions: 4
Published: about 10 years ago
10.3390/microarrays5040026
Computational Modeling and Analysis of Microarray Data: New HorizonsCited by: 4
Author(s): Heather J. Ruskin
Software Mentions: 1
Published: almost 10 years ago