Data

Tools

Indexes

Applications

Experiments

Papers

Papers: 10.1186/s13059-019-1900-3

https://doi.org/10.1186/s13059-019-1900-3

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

Cited by: 60
Author(s): Koki Tsuyuzaki, Hiroyuki Sato, K. Sato, Itoshi Nikaido
Published: almost 7 years ago

Software Mentions 12

cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: Julia
Fractal Image Data Generator
Papers that mentioned: 304
Very Likely Science (79)
cran: Matrix
Sparse and Dense Matrix Classes and Methods
Papers that mentioned: 172
Very Likely Science (75)
cran: umap
Uniform Manifold Approximation and Projection
Papers that mentioned: 24
Very Likely Science (81)
pypi: bhtsne
Python module for Barnes-Hut implementation of t-SNE (Cython)
Papers that mentioned: 1
Very Likely Science (65)
pypi: dask
Parallel PyData with Task Scheduling
Papers that mentioned: 8
Very Likely Science (100)
pypi: dask-ml
A library for distributed and parallel machine learning
Papers that mentioned: 1
Very Likely Science (100)
pypi: hdbscan
Clustering based on density with variable density clusters
Papers that mentioned: 16
Very Likely Science (100)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: umap
UNIST synthesis MAP solution
Papers that mentioned: 24
Very Likely Science (65)