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

Papers: 10.1186/s12915-021-01071-8

https://doi.org/10.1186/s12915-021-01071-8

Single-cell spatial transcriptomic analysis reveals common and divergent features of developing postnatal granule cerebellar cells and medulloblastoma

Cited by: 17
Author(s): Wenqin Luo, Guan Ning Lin, Weichen Song, Yu Zhang, Huadong Lai, Man Zhang, Juju Miao, Xiaomu Cheng, Yongjie Wang, Wang Li, Wenxiang Wei, Wei‐Qiang Gao, Ru Yang, Jia Wang
Published: about 4 years ago

Software Mentions 6

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
cran: NMF
Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
Papers that mentioned: 108
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)
pypi: scvelo
RNA velocity generalized through dynamical modeling
Papers that mentioned: 9
Very Likely Science (100)
pypi: velocyto
RNA velocity analysis for single cell RNA-seq data
Papers that mentioned: 25
Very Likely Science (90)