NeoSplice: a bioinformatics method for prediction of splice variant neoantigens

S Chai, CC Smith, TK Kochar… - Bioinformatics …, 2022 - academic.oup.com
Motivation Splice variant neoantigens are a potential source of tumor-specific antigen (TSA)
that are shared between patients in a variety of cancers, including acute myeloid leukemia …

NeoSplice: a bioinformatics method for prediction of splice variant neoantigens

S Chai, CC Smith, TK Kochar… - Bioinformatics …, 2022 - pubmed.ncbi.nlm.nih.gov
Motivation Splice variant neoantigens are a potential source of tumor-specific antigen (TSA)
that are shared between patients in a variety of cancers, including acute myeloid leukemia …

[PDF][PDF] NeoSplice: a bioinformatics method for prediction of splice variant neoantigens

S Chai, CC Smith, TK Kochar, SA Hunsucker, W Beck… - pdfs.semanticscholar.org
Motivation: Splice variant neoantigens are a potential source of tumor-specific antigen (TSA)
that are shared between patients in a variety of cancers, including acute myeloid leukemia …

[PDF][PDF] NeoSplice: a bioinformatics method for prediction of splice variant neoantigens

S Chai, CC Smith, TK Kochar… - Bioinformatics …, 2022 - academic.oup.com
Motivation Splice variant neoantigens are a potential source of tumor-specific antigen (TSA)
that are shared between patients in a variety of cancers, including acute myeloid leukemia …

NeoSplice: a bioinformatics method for prediction of splice variant neoantigens.

S Chai, CC Smith, TK Kochar, SA Hunsucker… - Bioinformatics …, 2022 - europepmc.org
Results In this study, we describe NeoSplice, a novel computational method for splice
variant neoantigen prediction based on (i) prediction of tumor-specific k-mers from RNA-seq …

[HTML][HTML] NeoSplice: a bioinformatics method for prediction of splice variant neoantigens

S Chai, CC Smith, TK Kochar, SA Hunsucker… - Bioinformatics …, 2022 - ncbi.nlm.nih.gov
Results In this study, we describe NeoSplice, a novel computational method for splice
variant neoantigen prediction based on (i) prediction of tumor-specific k-mers from RNA-seq …