Quantitative Biology


Clustering of Pancreatic Endocrine Tumors Via Microarray Gene Expression Analysis

Authors: Silvia Strada, Diego Liberati

A simple, multivariable and linearly initial- ized clustering is shown to be able to deal with unsu- pervised classification of the data originating from pan- creatic endocrine tumors (PET). Results are discussed almost only on the data science side, leaving a more biological discussion to future work, even in the quest of possible hidden pathways.

Comments: 10 Pages. submitted

Download: PDF

Submission history

[v1] 2015-12-23 21:12:17
[v2] 2015-12-27 09:48:34

Unique-IP document downloads: 199 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus