miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 103 times.
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National Cancer Institute
Grant: R01CA237170
National Human Genome Research Institute
Grant: R00HG009007
European Union’s Horizon 2020 research and innovation program
Grant: 667403
Comprehensive characterization and effective combinatorial targeting of high-grade serous ovarian cancer via single-cell analysis
Academy of Finland
Grant: Projects No.289059, 319243 and 294023
Cancer Foundation Finland sr
Grant: 210084
Research Council of Finland
Grant: 294023
Transcriptional regulation in colon cancer at the level of single cells
Research Council of Finland
Grant: 319243
Transcriptional regulation in colon cancer at the level of single cells
Research Council of Finland
Grant: 289059
Transcriptional regulation in colon cancer at the level of single cells
National Institutes of Health
Grant: 5R01CA237170-06
Characterization of high-grade serous ovarian cancer subtypes via single-cell profiling
National Institutes of Health
Grant: 5R00HG009007-04
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data
Cancer Foundation Finland
Alex’s Lemonade Stand Foundation for Childhood Cancer
Sigrid Jusélius Foundation
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