Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring is a research paper published in Proceedings of the National Academy of Sciences (2023). On theSindex it has a DataRank of 0. It has been cited 76 times.
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HHS | NIH | National Cancer Institute
Grant: U01CA230705
HHS | NIH | National Cancer Institute
Grant: R01CA246329
HHS | NIH | National Cancer Institute
Grant: U01CA237711
HHS | NIH | National Cancer Institute
Grant: R01CA264864
National Science Foundation
Grant: DMS1952386
HHS | National Institutes of Health
Grant: R01HG010359
HHS | National Institutes of Health
Grant: P50HG007735
V Foundation for Cancer Research
Grant: NA
HHS | NIH | National Cancer Institute
Grant: R01CA246304
HHS | NIH | National Cancer Institute
Grant: R01CA253651
National Science Foundation
Grant: 1952386
FRG: Collaborative Research: Generative Learning on Unstructured Data with Applications to Natural Language Processing and Hyperlink Prediction
National Institutes of Health
Grant: 5R01HG010359-04
Statistical methods for gene regulatory analysis and single cell genomics
National Institutes of Health
Grant: 5R01CA246304-05
Integrated analysis of HCC CTCs for Liver Transplant Candidate Selection
National Institutes of Health
Grant: 5P50HG007735-02
Project 4
National Institutes of Health
Grant: 1R01CA253651-01
Covalent Chemistry on Nanosubstrates Enables Molecular Analysis of Purified Extracellular Vesicles in Hepatocellular Carcinoma
National Institutes of Health
Grant: 5R01CA246329-04
Novel Computation Methods for the Analysis of Cell-Free DNA Sequence Data
National Institutes of Health
Grant: 5U01CA230705-07
The UCLA Center in Early Detection of Liver Cancer
National Institutes of Health
Grant: 5R01CA264864-02
Detecting and locating cancer for patients with CT-detected lung nodules
European Commission
Grant: 264864
Pulmonary Imaging Network
National Institutes of Health
Grant: 5U01CA237711-02
Informatics resources for liquid biopsy research
NCI NIH HHS
Grant: R01 CA276917
Fields of Study
MeSH Terms
Keywords
Additional file 1 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 1 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 4 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 4 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 5 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 5 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 2 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 2 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 3 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
Additional file 3 of CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes