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Cancer Mutation Data Analysis

I have a data set consisting of mutation data and NaN and NA values as shown below.

GENE    X115    X1154   X1156
AAMP    NaN         NaN         NaN
AARS2   NaN        NaN          NaN
ABCA9   Q10*    NaN         NaN
ABCB1   NA          NA           NA

Is there a way to maintain the NA and NaN values and analyse the data set using apcluster in R-Programming?

mutation r-programming
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updated by Kritika Kritika • written by kulani.s91 • kulani.s91

Most commands in R have an option along the lines of na.rm. No such option here?

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written by Ram Ram

Thank you for the reply. The na.rm() handles the NA values, but I need a method to handle the NaN values since apcluster does not output the correct answer or runs across an error when the NaN values are present.

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written by kulani.s91 • kulani.s91

U can replace NaN to NA or with 0 and then you can re run code

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written by Kritika Kritika

Either this or R also has an option (na.values) I think, to denote what values should be considered NA

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written by Ram Ram

Also, please use the formatting bar (especially the code option) to present your post better. I've done it for you this time. Formatting bar

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written by Ram Ram

1 answer

u can use this

 apcluster(na.omit(your_data_set))
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written by Kritika Kritika

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