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

Papers: 10.1371/journal.pcbi.1008569

https://doi.org/10.1371/journal.pcbi.1008569

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data

Cited by: 16
Author(s): Andreas Tjärnberg, Omar Mahmood, Christopher Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel Christiaen, Richard Bonneau
Published: over 4 years ago

Software Mentions 6

cran: DrImpute
Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Papers that mentioned: 19
Very Likely Science (100)
cran: SAVER
Single-Cell RNA-Seq Gene Expression Recovery
Papers that mentioned: 40
Very Likely Science (100)
pypi: DEWAKSS
Denoising Expression data with a Weighted Affinity Kernel and Self-Supervision.
Papers that mentioned: 1
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: pp
Parallel and distributed programming for Python
Papers that mentioned: 3
Very Likely Science (65)
pypi: velocyto
RNA velocity analysis for single cell RNA-seq data
Papers that mentioned: 25
Very Likely Science (90)