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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: cran: biglasso

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/biglasso

Extending Lasso Model Fitting to Big Data
13 versions
Latest release: almost 3 years ago
2 dependent packages
2,339 downloads last month

Enhanced Analysis
Educational Contributors: [email protected] [email protected] [email protected]
Repository Activity:
Repository Owner: Yaohui Zeng (user)
Data Scientist at Google
README Analysis: DOI Found ArXiv Preprint
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +8 Academic maintainer emails
    1 maintainers with academic email addresses
  • +60 Educational commit emails
    3 contributors with educational email addresses
  • +22 Science terms in README
    11 scientific terms found in README
  • +10 DOI references
    1 DOI references found in README
  • +6 Academic links
    1 academic links found in README
Penalties:
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (100)

Papers Mentioning biglasso 7

10.1371/journal.pgen.1009141
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank
Cited by: 68
Author(s): Junyang Qian, Yosuke Tanigawa, Wenfei Du, Matthew Aguirre, Chris Chang, Robert Tibshirani, Manuel A. Rivas, Trevor Hastie
Software Mentions: 12
Published: almost 5 years ago
10.1371/journal.pgen.1008766
Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models
Cited by: 5
Author(s): Sahir Bhatnagar, Yi Yang, Tianyuan Lu, Erwin Schurr, J. Concepción Loredo-Osti, Marie Forest, Karim Oualkacha, Celia M.T. Greenwood
Software Mentions: 10
Published: about 5 years ago
10.1371/journal.pgen.1008855
Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits
Cited by: 8
Author(s): Wei Cheng, Sohini Ramachandran, Lorin Crawford
Software Mentions: 7
Published: about 5 years ago
10.1371/journal.pgen.1009398
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies
Cited by: 37
Author(s): Arjun Bhattacharya, Yun Li, Michael I. Love
Software Mentions: 6
Published: over 4 years ago
10.1371/journal.pone.0242927
Novel methods for epistasis detection in genome-wide association studies
Cited by: 7
Author(s): Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert
Software Mentions: 5
Published: over 4 years ago
10.1186/s12863-017-0533-3
Resampling-based tests for Lasso in genome-wide association studies
Cited by: 12
Author(s): Jaron Arbet, Matt McGue, Snigdhansu Chatterjee, Saonli Basu
Software Mentions: 4
Published: about 8 years ago
10.1038/s41598-020-67162-8
Individual differences in local functional brain connectivity affect TMS effects on behavior
Cited by: 3
Author(s): Carsten Gießing, Mohsen Alavash, Christoph S. Herrmann, Claus C. Hilgetag, Christiane M. Thiel
Software Mentions: 1
Published: about 5 years ago