peptides: positive and negative neopeptides from netMHCpan
In yujijun/neoantigenML: Machine Learning Methods for Neoantigen Filtering
peptides R Documentation
positive and negative neopeptides from netMHCpan
Description
A example peptides vector
Usage
peptides
Format
A data frame with 755 rows and 7 variables in positive; A negative data frame with 6032 rows and columns
yujijun/neoantigenML documentation built on March 20, 2022, 11:59 p.m.
R Package Documentation
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| peptides | R Documentation |
positive and negative neopeptides from netMHCpan
Description
A example peptides vector
Usage
peptides
Format
A data frame with 755 rows and 7 variables in positive; A negative data frame with 6032 rows and columns
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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