PanNETsubtypesmicRNA: PanNET subtyping based on core clinical miR expression data.

Description Usage Arguments Details Value Author(s) References Examples

Description

This function selects microRNAs with standard deviation greater than 0.5, employs NMF to discover subtypes and SAM to identify microRNAs associated with the subtypes.

Usage

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Arguments

Indata

is the PanNETsubtypesmicRNA.Indata dataset which is micRNA expression data of tumors. micRNAs are on the rows and the first column contain the micRNA names.

Details

The dataset used here, PanNETsubtypesmicRNA.Indata, is microRNA expression data of tumors. micRNAs with standard deviation greater than 0.5 are selected, NMF is employed to discover subtypes and SAM to identify microRNAs associated with the subtypes.

Value

The output of this function include NMF subtypes and associated SAM microRNAs saved in your working directory under PanNetResults/micRNA folder.

Author(s)

Anguraj Sadanandam anguraj.sadanandam@icr.ac.uk

References

Anguraj Sadanandam, et all (2015). A cross-species analysis in pancreatic neuroendocrine tumors reveals molecular subtypes with distinctive clinical, metastatic, developmental, and metabolic characteristics. Cancer Discovery.

Examples

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## Only one dataset required for this function 
data(PanNETsubtypesmicRNA.Indata)
## Run the function
PanNETsubtypesmicRNA(PanNETsubtypesmicRNA.Indata)

syspremed/PanNETassigner documentation built on May 31, 2019, 12:48 a.m.