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

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Submission history

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

Unique-IP document downloads: 81 times

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