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

Papers: 10.1186/1471-2105-15-314

https://doi.org/10.1186/1471-2105-15-314

A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects

Cited by: 36
Author(s): Murat Dündar, Ferit Akova, Halid Ziya Yerebakan, Bartek Rajwa
Published: almost 11 years ago

Software Mentions 3

bioconductor: flowMeans
Non-parametric Flow Cytometry Data Gating
Papers that mentioned: 17
Very Likely Science (90)
bioconductor: flowPeaks
An R package for flow data clustering
Papers that mentioned: 11
Very Likely Science (75)
cran: FLAME
Interpretable Matching for Causal Inference
Papers that mentioned: 256
Likely Science (50)