Negative binomial mixture model for identification of noise in antibody-antigen specificity predictions from single-cell data is a research paper published in Bioinformatics Advances (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.
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National Institutes of Health
Grant: 5T32AI112541-07
Chemical Biology of Infectious Diseases (CBID) Training Program
NIAID NIH HHS
Grant: R01 AI175245
NIAID NIH HHS
Grant: R01 AI152693
National Institutes of Health
Grant: R01AI152693-03
NIAID NIH HHS
Grant: T32 AI112541
National Institutes of Health
Grant: 5T15LM007450-18
Vanderbilt Biomedical Informatics Training Program
National Institutes of Health
Grant: 5R01AI152693-03
High-throughput mapping of antigen specificity to B-cell-receptor sequence for characterizing antibody responses in HIV-vaccinated and infected individuals
National Institutes of Health
Grant: 5R01AI175245-02
Technologies for High-Throughput Mapping of Antigen Specificity to B-Cell-Receptor Sequence
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