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

Papers: 10.1371/journal.pgen.1009141

https://doi.org/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
Published: almost 5 years ago

Software Mentions 12

cran: BEDMatrix
Extract Genotypes from a PLINK .bed File
Papers that mentioned: 3
Very Likely Science (81)
cran: BGData
A Suite of Packages for Analysis of Big Genomic Data
Papers that mentioned: 3
Very Likely Science (100)
cran: biglasso
Extending Lasso Model Fitting to Big Data
Papers that mentioned: 7
Very Likely Science (100)
cran: bigmemory
Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Papers that mentioned: 10
Very Likely Science (77)
cran: bigsnpr
Analysis of Massive SNP Arrays
Papers that mentioned: 12
Very Likely Science (100)
cran: bigstatsr
Statistical Tools for Filebacked Big Matrices
Papers that mentioned: 7
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: ncvreg
Regularization Paths for SCAD and MCP Penalized Regression Models
Papers that mentioned: 18
Very Likely Science (100)
cran: oem
Orthogonalizing EM: Penalized Regression for Big Tall Data
Papers that mentioned: 1
Very Likely Science (85)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: oem
Python Orbit Ephemeris Message (OEM) tools
Papers that mentioned: 1
Very Likely Science (85)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)