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Analysis of gene expression data of tumor vs. normal cells in clear cell Renal Cell Carcinoma

Koutounidis, Antonios (2018) Analysis of gene expression data of tumor vs. normal cells in clear cell Renal Cell Carcinoma. Bachelor's Thesis, Computing Science.

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Abstract

The last years as more and more reliable cancer data sets become available and more researchers work on them, the way that a drug is produced is changing. Knowledge about the mechanisms of a disease can be acquired from those data sets. Based on a resent analysis of gene expression data which addressed the prediction of recurrence risk in patients with clear cell Renal Cell Carcinoma, we study in more detail the classification problem, whether a sample is healthy or unhealthy. Using a GMLVQ classifier we observe that even a simple classifier trained by a significant small number of random genes can achieve great results in respect of performance. At the end we show that, even the information to classify a sample as healthy or unhealthy is spread on many genes, still there is a level of significance between the genes.

Item Type: Thesis (Bachelor's Thesis)
Supervisor:
Supervisor nameSupervisor E mail
Biehl, M.M.Biehl@rug.nl
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 14 Sep 2018
Last Modified: 26 Sep 2018 08:40
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/18576

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