All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Methods, Models and Information Technology of Complex Data Processing in the Fields of Technical Diagnostics and Bioinformatics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43895220" target="_blank" >RIV/44555601:13440/20:43895220 - isvavai.cz</a>

  • Result on the web

    <a href="http://94.158.152.98/opac/index.php?url=/notices/index/IdNotice:434449/Source:default" target="_blank" >http://94.158.152.98/opac/index.php?url=/notices/index/IdNotice:434449/Source:default</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Methods, Models and Information Technology of Complex Data Processing in the Fields of Technical Diagnostics and Bioinformatics

  • Original language description

    This monograph reflects the results of the authors&apos; research concerning development and applying the data science techniques in the fields of technical diagnostic and bioinformatics. The noised signals filtering is very important part of data pre-processing techniques. The authors solve this task based on complex use of Huang transform and wavelet analysis techniques. Another direction of authors&apos; research is devoted to one of current directions of modern bioinformatics: development of techniques of gene expression profiles processing for purpose of gene regulatory networks reconstruction and validation of the reconstructed models. The monograph presents the authors&apos; solutions concerning: gene expression array formation using Bioconductor package of R software; non-informative gene expression profiles reducing based on the complex use of fuzzy inference system and clustering quality criteria; stepwise cluster-bicluster analysis of gene expression profiles; reconstruction of gene regulatory networks using correlation and ARACNE inference algorithms based on Cytoscape software; validation of the reconstructed models using ROC analysis theory. The monograph can be interested for scientists specialized in the fields of both development and applying data science techniques in various fields of scientific research.

  • Czech name

  • Czech description

Classification

  • Type

    B - Specialist book

  • CEP classification

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • ISBN

    978-966-322-505-0

  • Number of pages

    192

  • Publisher name

    Ukrainian Academy of Printing

  • Place of publication

    Lviv

  • UT code for WoS book