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

Papers: 10.1038/s41422-018-0053-3

https://doi.org/10.1038/s41422-018-0053-3

Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis

Cited by: 162
Author(s): Xiaoying Fan, Ji Dong, Shaobo Zhong, Wei Yuan, Qian Wu, Liying Yan, Jun Yong, Le Sun, Xiaoye Wang, Yangyu Zhao, Wei Wang, Jie Yan, Xiaoqun Wang, Jie Qiao, Fuchou Tang
Published: about 7 years ago

Software Mentions 8

bioconductor: AUCell
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
Papers that mentioned: 45
Very Likely Science (100)
bioconductor: GENIE3
GEne Network Inference with Ensemble of trees
Papers that mentioned: 172
Very Likely Science (100)
bioconductor: scran
Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113
Very Likely Science (100)
cran: FactoMineR
Multivariate Exploratory Data Analysis and Data Mining
Papers that mentioned: 1,101
Very Likely Science (85)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)