predRes: Example output of getPatientRankings, used to call labels for...
In netDx: Network-based patient classifier

Description Usage Examples

List of lists. First level is a list of size 4, with one key entry for each tumour type in example medulloblastoma dataset (WNT,SHH,Group3,Group4). Each list in the second level is of length 8, with structure corresponding to the output of getPatientRankings().

1	data(predRes)

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data(predRes)
summary(predRes)
summary(predRes[[1]])

netDx documentation built on Dec. 11, 2020, 2:01 a.m.

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README.md Building a classifier with sparse genetic data - case/control classification in autism from rare CNVs Building binary classifier from clinical and 'omic data using pathway-level features Build N-way classifier (N>2) from clinical and multi-omic data

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predRes: Example output of getPatientRankings, used to call labels for...
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netDx Network-based patient classifier

predRes: Example output of getPatientRankings, used to call labels for... In netDx: Network-based patient classifier

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netDx
Network-based patient classifier

predRes: Example output of getPatientRankings, used to call labels for...
In netDx: Network-based patient classifier