Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 15 times.
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National Institutes of Health
Grant: R21CA216452
National Institutes of Health
Grant: R01HG010589
Pennsylvania Department of Health
Grant: 4100070287
The Pennsylvania Department of Health
Mario Lemieux Foundation
Center for Machine Learning and Health Fellowship
AWS Machine Learning Research Awards
Breast Cancer Alliance
FWCI
1.68
Citation Percentile
0.8%
Citation Trend
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Sustainable Development Goals
Additional file 5 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 5 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 4 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 6 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 4 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 6 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 1 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 3 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 2 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 3 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 1 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Additional file 2 of Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data