Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1186/s13059-020-02100-5

https://doi.org/10.1186/s13059-020-02100-5

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data

Cited by: 56
Author(s): Nikolaus Fortelny, Christoph Bock
Published: over 4 years ago

Software Mentions 20

bioconductor: fgsea
Fast Gene Set Enrichment Analysis
Papers that mentioned: 150
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
cran: caret
Classification and Regression Training
Papers that mentioned: 630
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
cran: keras
R Interface to 'Keras'
Papers that mentioned: 141
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
cran: pheatmap
Pretty Heatmaps
Papers that mentioned: 2,572
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
cran: tensorflow
R Interface to 'TensorFlow'
Papers that mentioned: 71
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
pypi: keras
Deep learning for humans.
Papers that mentioned: 141
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
pypi: table
Two-dimensional tables backed by Numpy with named rows and columns.
Papers that mentioned: 48
pypi: tensorflow
TensorFlow is an open source machine learning framework for everyone.
Papers that mentioned: 71