Criterial Analysis of Gene Expression Sequences to Create the Objective Clustering Inductive Technology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43892884" target="_blank" >RIV/44555601:13440/17:43892884 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ELNANO.2017.7939756" target="_blank" >http://dx.doi.org/10.1109/ELNANO.2017.7939756</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ELNANO.2017.7939756" target="_blank" >10.1109/ELNANO.2017.7939756</a>

Result language

angličtina

Original language name

Criterial Analysis of Gene Expression Sequences to Create the Objective Clustering Inductive Technology

Original language description

The paper presents the researches to determine the effectiveness of different criteria to estimate the complex biology objects clustering quality. The gene expression sequences of cancer patients were used as experimental data. The degree of the studied objects similarity was estimated by the comparison of the gene expression sequences profile using different metrics to estimate the objects proximity. The studies have shown that the best separating ability is obtained by using the correlation metric proximity of objects. Herewith the use of the CH criterion (Calinski-Harabasz) allows to get the most objective objects clustering by using simulated data. The presented research is focused mainly on the inductive model of the objective clustering, where the objects clustering is carried out concurrently on the two equal power subsets. In this case, the final decision about the objects grouping is accepted using the two subsets basing both on the internal clustering quality criteria estimating and the minimum value of the external criterion of clustering similarity.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2017 IEEE 37TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO)

ISBN

978-1-5386-1701-4

ISSN

—

e-ISSN

neuvedeno

Number of pages

5

Pages from-to

244-248

Publisher name

IEEE

Place of publication

New York

Event location

Kyiv, UKRAINE

Event date

Apr 18, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000403399800053