Projects: pypi: SAGA-optimize
https://packages.ecosyste.ms/registries/pypi.org/packages/SAGA-optimize
Optimization method for solving boundary-value inverse problem based on a combined simulated annealing and genetic algorithm
7 versions
Latest release: about 7 years ago
21 downloads last month
Enhanced Analysis
Educational Contributors:
hji236@g.uky.edu
Repository Activity:
Repository Owner:
Moseley Bioinformatics and Systems Biology Lab (organization)
We develop and maintain a set of high-quality, well-documented, open source code repositories for general scientific re-use. Academic
We develop and maintain a set of high-quality, well-documented, open source code repositories for general scientific re-use. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+20
Educational commit emails
1 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+10
Educational website
Repository owner has educational domain website -
+6
Science terms in README
3 scientific terms found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning SAGA-optimize 2
10.1186/s12859-019-3096-7
Moiety modeling framework for deriving moiety abundances from mass spectrometry measured isotopologuesCited by: 9
Author(s): Jianya Huan, Hunter N. B. Moseley
Software Mentions: 12
Published: over 6 years ago
10.3390/metabo10030118
Robust Moiety Model Selection Using Mass Spectrometry Measured IsotopologuesCited by: 8
Author(s): Jianya Huan, Hunter N. B. Moseley
Software Mentions: 1
Published: over 6 years ago