Projects: cran: mlrMBO
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/mlrMBO
Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions
8 versions
Latest release: about 3 years ago
8 dependent packages
2,351 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
mlr-org (organization)
README Analysis:
DOI Found
ArXiv Preprint
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+18
Science terms in README
9 scientific terms found in README -
+10
DOI references
1 DOI references found in README -
+12
Academic links
2 academic links found in README
Penalties:
-
-15
No science keywords
No scientific terms found in keywords/classifiers
Very Likely Science (100)
Papers Mentioning mlrMBO 5
10.1080/19490976.2021.1888673
Links between gut microbiome composition and fatty liver disease in a large population sampleCited by: 31
Author(s): Matti O. Ruuskanen, Fredrik Åberg, Ville Männistö, Aki S. Havulinna, Guillaume Méric, Yang Liu, Rohit Loomba, Yoshiki Vázquez-Baeza, Anupriya Tripathi, Liisa Valsta, Michael Inouye, Pekka Jousilahti, Veikko Salomaa, Mohit Jain, Rob Knight, Leo Lahti, Teemu J. Niiranen
Software Mentions: 14
Published: over 4 years ago
10.1186/s12859-021-04011-z
Empowering individual trait prediction using interactions for precision medicineCited by: 4
Author(s): Damian Gola, Inke R. König
Software Mentions: 7
Published: over 4 years ago
10.1186/s13321-020-00421-y
ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learningCited by: 38
Author(s): Dejun Jiang, Tailong Lei, Zhe Wang, Chao Shen, Dong‐Sheng Cao, Tingjun Hou
Software Mentions: 5
Published: over 5 years ago
10.1186/s12859-018-2508-4
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer researchCited by: 50
Author(s): Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson Collier, John Bauer, Fangfang Xia, Thomas Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia-Cardona, Brian Van Essen, Matthew Baughman
Software Mentions: 4
Published: over 6 years ago
10.14283/jpad.2020.44
PREDICTING AMYLOID BURDEN TO ACCELERATE RECRUITMENT OF SECONDARY PREVENTION CLINICAL TRIALSCited by: 19
Author(s): Oliver Langford, Rema Raman, Reisa A. Sperling, Jeffrey L. Cummings, Chung-Kai Sun, Gustavo Jimenez‐Maggiora, Paul S. Aisen, Michael C. Donohue
Software Mentions: 4
Published: over 5 years ago