tgirthamr: prediction
In wckdouglas/tgirthamr: Thermostable Group II intron Reverse transcriptase high-throughput annotation of modified base

This function is for modeling the distribution of errors

1 2	tgirthamr(predictTable, model, enzyme, seqErr, pCutOff, resultFile, hyp, dbpath, devMode)

`predictTable:`	data table that store mismatch of the library`inputParameter1`
`model:`	model of your choice (knn/rf/..)`inputParameter2`
`enzyme:`	what enzyme did you used for preparing the library? `inputParameter3`
`seqErr:`	theoretical sequencin/PCR error `inputParameter4`
`pCutOff:`	false discovery rate threshold `inputParameter5`
`hyp:`	hypothesis to use `inputParameter6`
`dbpath:`	the path storing the database `inputParameter7`
`devMode:`	1 or 0 for outputing data that with extensive information or not `inputParameter8`

df: return original data fram with a new column with the predicted class

1	R code here showing how your function works

wckdouglas/tgirthamr documentation built on May 4, 2019, 2:03 a.m.

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