Multiclust: an R-package for identifying biologically relevant clusters in cancer transcriptome profiles

Multiclust: an R-package for identifying biologically relevant clusters in cancer transcriptome profiles

Clustering is carried out to identify patterns in transcriptomics profiles to determine clinically relevant subgroups of patients. Feature (gene) selection is a critical and an integral part of the process. Currently, there are many feature selection and clustering methods to identify the relevant g...

Full description

Saved in:
Bibliographic Details
Main Authors: Lawlor, Nathan, Fabbri, Alec, Guan, Peiyong, George, Joshy, Karuturi, R. Krishna Murthy
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
Subjects:
DRNTU::Engineering::Computer science and engineering
R Software
Gene Selection
Online Access:https://hdl.handle.net/10356/89433
http://hdl.handle.net/10220/47077
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/89433
http://hdl.handle.net/10220/47077

Similar Items