Objective Clustering Inductive Technology of Gene Expression Sequences Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43892885" target="_blank" >RIV/44555601:13440/17:43892885 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-58274-0_29" target="_blank" >http://dx.doi.org/10.1007/978-3-319-58274-0_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-58274-0_29" target="_blank" >10.1007/978-3-319-58274-0_29</a>
Alternative languages
Result language
angličtina
Original language name
Objective Clustering Inductive Technology of Gene Expression Sequences Features
Original language description
Technology of high dimensional data features objective clustering based on the methods of complex systems inductive modeling is presented in the paper. Architecture of the objective clustering inductive technology as a block diagram of step-by-step implementation of the objects clustering procedure was developed. Method of criterial evaluation of complex data clustering results using two equal power data subsets is proposed. Degree of clustering objectivity evaluates on the basis of complex use of internal and external criteria. Researches on the simulation results of the proposed technology based on the SOTA self-organizing clustering algorithm using the gene expression data obtained by DNA microarray analysis of patients with lung cancer GEOD-68571 Array Express database, the datasets "Compound" and "Aggregation" of the Computing School of the Eastern Finland University and the data "seeds" are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BEYOND DATABASES, ARCHITECTURES AND STRUCTURES: TOWARDS EFFICIENT SOLUTIONS FOR DATA ANALYSIS AND KNOWLEDGE REPRESENTATION Book Series: Communications in Computer and Information Science
ISBN
978-3-319-58274-0
ISSN
1865-0929
e-ISSN
—
Number of pages
14
Pages from-to
359-372
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Cham
Event location
Ustron, POLAND
Event date
May 30, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000404648500029