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”

A Scalable Method for Efficient Stem Cell Donor HLA Genotype Match Determination

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923175" target="_blank" >RIV/49777513:23520/14:43923175 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.europment.org/library/2014/prague/bypaper/EEED-BIO/EEED-BIO-04.pdf" target="_blank" >http://www.europment.org/library/2014/prague/bypaper/EEED-BIO/EEED-BIO-04.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Scalable Method for Efficient Stem Cell Donor HLA Genotype Match Determination

  • Original language description

    Finding suitable stem cell donors comprises three independent processes: donor pool HLA typing, donor HLA haplotype inference, and search for donor HLA genotype matches. For practical and technical reasons, these processes are often decoupled leading to informational losses along the way. A method is presented that eliminates some of the technical challenges by considering all three steps together. The method relies on two practical assumptions: there exists a set of common haplotypes and the matched target is typed at high resolution. Under these two assumptions, sufficient statistical HLA analysis of a stem cell donor pool is performed to identify donors that most likely match a given genotype. The presented common haplotype Expected-Maximization (chEM) method is scalable in the number of loci, the number of alleles, and typing ambiguity, overcoming the known curse of dimensionality for the problem of HLA haplotype inference. The practical value is demonstrated on real world data provided by the Czech National Marrow Donor Registry. It is shown the chEM method significantly reduces the field of potential matches when compared to an existing match algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/TA01010342" target="_blank" >TA01010342: Research and development of advanced IT technologies for support of bone marrow donor searching for transplantation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Energy, Environment, Biology and Biomedicine

  • ISBN

    978-1-61804-232-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    28-32

  • Publisher name

    Neuveden

  • Place of publication

    Neuvedeno

  • Event location

    Prague

  • Event date

    Apr 2, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article