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

Projects: pypi: scScope

https://packages.ecosyste.ms/registries/pypi.org/packages/scScope

scScope is a deep-learning based approach for single cell RNA-seq analysis.
4 versions
Latest release: over 6 years ago
15 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Altschuler-Wu Laboratory (organization) Academic
README Analysis: DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +14 Science terms in README
    7 scientific terms found in README
  • +10 DOI references
    1 DOI references found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
Very Likely Science (100)

Papers Mentioning scScope 7

10.1186/s13059-020-02132-x
A systematic evaluation of single-cell RNA-sequencing imputation methods
Cited by: 156
Author(s): Wenpin Hou, Zhicheng Ji, Hongkai Ji, Stephanie Hicks
Software Mentions: 15
Published: almost 5 years ago
10.1186/s13059-019-1898-6
Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
Cited by: 123
Author(s): Shuang Sun, Jiaqiang Zhu, Ying Ma, Xiang Zhou
Software Mentions: 13
Published: over 5 years ago
10.1186/s13059-020-02083-3
DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning
Cited by: 23
Author(s): Yong He, Hao Yuan, Changbao Wu, Zhi Xie
Software Mentions: 9
Published: about 5 years ago
10.3389/fgene.2020.00295
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm
Cited by: 13
Author(s): Liang Chen, Weinan Wang, Yuyao Zhai, Minghua Deng
Software Mentions: 8
Published: over 5 years ago
10.1016/j.gpb.2018.07.007
Deciphering Brain Complexity Using Single-cell Sequencing
Cited by: 50
Author(s): Quanhua Mu, Yiyun Chen, Jiguang Wang
Software Mentions: 7
Published: almost 6 years ago
10.3389/fgene.2020.00786
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data
Cited by: 2
Author(s): Jiankang Xiong, Fuzhou Gong, Lin Wan, Liang Ma
Software Mentions: 3
Published: almost 5 years ago