A comparative study of multiple instance learning methods for cancer detection using T-cell receptor sequences is a research paper published in Computational and Structural Biotechnology Journal (2021). On theSindex it has a DataRank of 0. It has been cited 29 times.
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NIGMS NIH HHS
Grant: R15 GM131390
Cancer Prevention and Research Institute of Texas
Grant: RP190208
NCI NIH HHS
Grant: P30 CA142543
NCI NIH HHS
Grant: R01 CA258584
National Institutes of Health
Grant: 1R15GM131390-01
Normalizing Gene Expression Data from Formalin-Fixed Paraffin-Embedded Samples
National Institutes of Health
Grant: 5R01CA258584-04
Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitors
National Institutes of Health
Grant: 3P30CA142543-12S1
Multidimensional single-cell approach probing HIV-1 integration association with non-AIDS defining cancers (Biospecimens/Biocohort)
FWCI
1.99
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals