Search results

  1. 1.
    0560115 - ÚMG 2023 RIV GB eng J - Journal Article
    Malinka, František - Zareie, Ashkan - Procházka, Jan - Sedláček, Radislav - Novosadová, Vendula
    Batch alignment via retention orders for preprocessing large-scale multi-batch LC-MS experiments.
    Bioinformatics. Roč. 38, č. 15 (2022), s. 3759-3767. ISSN 1367-4803. E-ISSN 1460-2059
    R&D Projects: GA MŠMT(CZ) LM2018126; GA MŠMT EF16_013/0001789
    Institutional support: RVO:68378050
    Keywords : mass spectrometry data * sequence alignment * metabolomics * algorithms
    OECD category: Biochemistry and molecular biology
    Impact factor: 5.8, year: 2022
    Method of publishing: Limited access
    https://academic.oup.com/bioinformatics/article/38/15/3759/6617343?login=true
    Permanent Link: https://hdl.handle.net/11104/0334013
     
     
  2. 2.
    0557844 - ÚMG 2023 RIV GB eng J - Journal Article
    Iatsiuk, Veronika - Malinka, František - Pícková, Markéta - Turečková, Jolana - Kléma, J. - Špoutil, František - Novosadová, Vendula - Procházka, Jan - Sedláček, Radislav
    Semantic clustering analysis of E3-ubiquitin ligases in gastrointestinal tract defines genes ontology clusters with tissue expression patterns.
    BMC Gastroenterology. Roč. 22, č. 1 (2022), č. článku 186. E-ISSN 1471-230X
    R&D Projects: GA MŠMT(CZ) LM2015040; GA MŠMT(CZ) LM2018126; GA MŠMT EF16_013/0001789; GA MŠMT(CZ) LQ1604; GA MŠMT ED2.1.00/19.0395; GA MŠMT(CZ) ED1.1.00/02.0109
    Institutional support: RVO:68378050
    Keywords : Ub-ligase * git * Regeneration * Cluster analysis * Semantic biclustering * Gene redundancy
    OECD category: Gastroenterology and hepatology
    Impact factor: 2.4, year: 2022
    Method of publishing: Open access
    https://bmcgastroenterol.biomedcentral.com/articles/10.1186/s12876-022-02265-2
    Permanent Link: http://hdl.handle.net/11104/0331689
     
     
  3. 3.
    0539595 - ÚMG 2021 RIV GB eng J - Journal Article
    Malinka, František - Zelezny, F. - Kléma, J.
    Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.
    BioData Mining. Roč. 13, č. 1 (2020), č. článku 13. ISSN 1756-0381. E-ISSN 1756-0381
    Institutional support: RVO:68378050
    Keywords : Symbolic machine learning * Enrichment analysis * Ontology * Taxonomy * Gene expression * Biclustering
    OECD category: Biochemistry and molecular biology
    Impact factor: 2.522, year: 2020
    Method of publishing: Open access
    https://biodatamining.biomedcentral.com/articles/10.1186/s13040-020-00219-6
    Permanent Link: http://hdl.handle.net/11104/0317303
     
     


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