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

Papers: 10.1093/bioinformatics/btx392

https://doi.org/10.1093/bioinformatics/btx392

matter: an R package for rapid prototyping with larger-than-memory datasets on disk

Cited by: 4
Author(s): Kylie A Bemis, Olga Vitek
Published: about 8 years ago

Software Mentions 10

bioconductor: Cardinal
A mass spectrometry imaging toolbox for statistical analysis
Papers that mentioned: 19
Very Likely Science (100)
bioconductor: matter
A framework for rapid prototyping with file-based data structures
Papers that mentioned: 1
Very Likely Science (100)
cran: biglm
Bounded Memory Linear and Generalized Linear Models
Papers that mentioned: 4
Very Likely Science (93)
cran: bigmemory
Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Papers that mentioned: 10
Very Likely Science (77)
cran: ff
Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Papers that mentioned: 14
Very Likely Science (75)
cran: irlba
Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
Papers that mentioned: 16
Very Likely Science (100)
cran: mmap
Map Pages of Memory
Papers that mentioned: 9
Very Likely Science (75)
pypi: Analyze
Analyze is a python library that provides comprehensive statistical analysis of a dataframe in 5 lines of code. It creates significant insight for data scientists, analysts and machine learning engineers, enabling quick understanding of a dataset.
Papers that mentioned: 615
Very Likely Science (90)
pypi: ff
A kit for files finding
Papers that mentioned: 14
Very Likely Science (65)
pypi: matter
matter classes and parsers for structure formats
Papers that mentioned: 1
Very Likely Science (80)