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Title:
ANALIZA STABILNOSTI ALGORITMOV ZA RAZVRŠČANJE NA PODLAGI GENSKIH EKSPRESIJ
Authors:
ID
Haberman, Nejc
(
Author
)
ID
Zorman, Milan
(
Mentor
)
More about this mentor...
ID
Štiglic, Gregor
(
Comentor
)
Files:
VS_Haberman_Nejc_2011.pdf
(19,24 MB)
MD5: C16474CF736AD055D53CA4B1A87D4ABB
PID:
20.500.12556/dkum/8211211f-cef4-4de2-84a8-9d83a6b1840a
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu smo predstavili implementacijo sistema za analizo stabilnosti algoritmov za razvrščanje atributov na podlagi genskih ekspresij. Najprej opišemo že obstoječa orodja za podatkovno rudarjenje in najbolj uporabljene datotečne strukture formatov. Predstavili smo tudi vse implementirane metode za izbiro atributov. Podrobno prikažemo delovanje algoritmov za merjenje stabilnosti, zrušitve imen in risanje grafov. Sledi predstavitev sistema in uporabniški priročnik. Končni izdelek diplomske naloge je sistem SAGERA (Stability Analysis of Gene Expression Ranking Algorithms), ki se nahaja na spletni strani:
http://agra.fzv.uni-mb.si/sagera/
.
Keywords:
podatkovno rudarjenje
,
izbira atributov
,
metrike stabilnosti
,
ekspresija genov
Place of publishing:
Maribor
Publisher:
[N. Haberman]
Year of publishing:
2010
PID:
20.500.12556/DKUM-15112
UDC:
004.021:004.62(043.2)
COBISS.SI-ID:
14825238
NUK URN:
URN:SI:UM:DK:JLCJKKB1
Publication date in DKUM:
10.03.2011
Views:
2587
Downloads:
214
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
STABILITY ANALYSIS OF GENE EXPRESSION RANKING ALGORITHMS
Abstract:
In present thesis we've introduced an implementation of the system for stability analysis of gene expression ranking algorithms. At the beginning we introduce the present tools for data mining and most popular format data structures. We have also introduced all implemented methods for feature selection. Algorithms for measuring stability, gene collapses and chart drawings are presented in detail. Introduction of the system and user interface follows next. The final product of the thesis is the SAGERA (Stability Analysis of Gene Expression Ranking Algorithms) system, which can be found on the following website:
http://agra.fzv.uni-mb.si/sagera/
.
Keywords:
data mining
,
gene selection
,
percentages of overlapping genes
,
gene expression
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