Computational prediction of protein interactions in single cells by proximity sequencing is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.
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National Institute of General Medical Sciences
Grant: GM127527
National Institute of General Medical Sciences
Grant: R35GM148231
National Institute of General Medical Sciences
Grant: GM126553
National Human Genome Research Institute
Grant: HG011883
National Science Foundation
Grant: 2016307
Statistical Methods for Intra-Tumor Heterogeneity Studies Using Sequencing Data
NIAID NIH HHS
Grant: R01 AI175321
NHGRI NIH HHS
Grant: R01 HG012927
NIGMS NIH HHS
Grant: R01 GM127527
NHGRI NIH HHS
Grant: R01 HG011883
NIGMS NIH HHS
Grant: R01 GM126553
National Institutes of Health
Grant: 5R01HG011883-04
Developing new computational tools for spatial transcriptomics data
National Institutes of Health
Grant: 1R35GM148231-01
Understanding robust cellular information processing in complex environments and development of enabling single-cell analysis technologies
National Institutes of Health
Grant: 5R01GM126553-08
New directions in single cell genomics method development
National Institutes of Health
Grant: 5R01GM127527-04
Ultra-Sensitive Multiplexed Quantification of Proteins Secreted from Single-Cells - Resubmission 01
Allen Institute
Office of Intramural Training and Education
FWCI
0.48
Citation Percentile
0.6%
Citation Trend
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