Search results

  1. 1.
    0576187 - ÚOCHB 2024 RIV US eng J - Journal Article
    Tesařová, M. - Boušková, T. - Cejnar, P. - Šantrůček, J. - Peterková, L. - Fík, Z. - Sázelová, Petra - Kašička, Václav - Hynek, R.
    Characterization of vestibular schwannoma tissues using liquid chromatography-tandem mass spectrometry analysis of specific peptide fragments separated by in-sample tryptic protein digestion followed by mathematical analysis.
    Journal of Separation Science. Roč. 46, č. 22 (2023), č. článku 2300543. ISSN 1615-9306. E-ISSN 1615-9314
    Institutional support: RVO:61388963
    Keywords : in-sample protein digestion * liquid chromatography * principal component analysis * tandem mass spectrometry * vestibular schwannomas
    OECD category: Analytical chemistry
    Impact factor: 3.1, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1002/jssc.202300543
    Permanent Link: https://hdl.handle.net/11104/0345778
     

    Research data: PRIDE
     
  2. 2.
    0571534 - BFÚ 2024 RIV NL eng J - Journal Article
    Weidner, J. - Neitzel, Ch. - Gote, M. - Deck, J. - Kuentzelmann, K. - Pilarczyk, G. - Falk, Martin - Hausmann, M.
    Advanced image-free analysis of the nano-organization of chromatin and other biomolecules by Single Molecule Localization Microscopy (SMLM).
    Computational and Structural Biotechnology Journal. Roč. 21, MAR 2023 (2023), s. 2018-2034. ISSN 2001-0370. E-ISSN 2001-0370
    R&D Projects: GA ČR GC20-04109J
    Institutional support: RVO:68081707
    Keywords : Single molecule localization microscopy * (smlm) * Ripley distance frequency histograms * Persistent homology * Persistent image * Principal component analysis * Application of mathematical analysis tools to * chromatin organization and DNA repair * processes
    OECD category: Biochemistry and molecular biology
    Impact factor: 6, year: 2022
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S2001037023001083?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0349895
     
     
  3. 3.
    0571442 - ÚVGZ 2024 RIV NL eng J - Journal Article
    Kaseva, J. - Hakala, K. - Hongnasbacka, M. - Jauhiainen, L. - Himanen, Sari J. - Roetter, R.P. - Balek, Jan - Trnka, Miroslav - Kahiluoto, H.
    Assessing climate resilience of barley cultivars in northern conditions during 1980-2020.
    Field Crops Research. Roč. 293, MAR (2023), č. článku 108856. ISSN 0378-4290. E-ISSN 1872-6852
    R&D Projects: GA MŠMT(CZ) EF16_019/0000797
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : Response diversity * Weather * Climate resilience * Barley cultivars * Principal component analysis * Cluster analysis
    OECD category: Agriculture
    Impact factor: 5.8, year: 2022
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S0378429023000497?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0342662
    FileDownloadSizeCommentaryVersionAccess
    1-s2.0-S0378429023000497-main.pdf42.6 MBPublisher’s postprintopen-access
     
     
  4. 4.
    0549871 - ÚI 2022 RIV CZ eng J - Journal Article
    Kerechanin, J. V. - Bobrov, P.D. - Frolov, A. A. - Húsek, Dušan
    Independent EEG components are meaningful (for BCI based on motor imagery).
    Neural Network World. Roč. 31, č. 5 (2021), s. 355-375. ISSN 1210-0552
    Institutional support: RVO:67985807
    Keywords : EEG analysis * independent component analysis * ICA * common spatial patterns * CSP * principal component analysis * PCA * brain computer interface * BCI * features selection
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 1.304, year: 2021
    Method of publishing: Open access
    http://dx.doi.org/10.14311/NNW.2021.31.020
    Permanent Link: http://hdl.handle.net/11104/0325765
    FileDownloadSizeCommentaryVersionAccess
    0549871-aoa.pdf1909.2 KBVolně online http://www.nnw.cz/doi/2021/NNW.2021.31.020.pdfPublisher’s postprintrequire
     
     
  5. 5.
    0545638 - ÚFA 2022 DE eng A - Abstract
    Huth, Radan - Hynčica, M. - Pískala, V. - Pokorná, Lucie
    Troubles with teleconnections.
    EMS Annual Meeting Abstracts, Vol. 18. Berlin: European Meteorological Society, 2020.
    [EMS Annual Meeting 2021. 06.09.2021-10.09.2021, online]
    Institutional support: RVO:68378289
    Keywords : teleconnections * low-frequency atmospheric circulation variability * rotated principal component analysis (RPCA)
    OECD category: Climatic research
    https://meetingorganizer.copernicus.org/EMS2021/EMS2021-252.html
    Permanent Link: http://hdl.handle.net/11104/0322320
     
     
  6. 6.
    0544265 - ÚGN 2022 RIV NL eng J - Journal Article
    Bradák, B. - Csonka, D. - Novothny, A. - Szeberényi, J. - Medveďová, A. - Roštínský, Pavel - Fehér, K. - Barta, G. - Végh, T. - Kiss, K. - Megyeri, M.
    Late Pleistocene paleosol formation in a dynamic aggradational microenvironment - A case study from the Malá nad Hronom loess succession (Slovakia).
    Catena. Roč. 199, April 2021 (2021), č. článku 105087. ISSN 0341-8162. E-ISSN 1872-6887
    Institutional support: RVO:68145535
    Keywords : sedimentation * pedogenesis * paleogeomorphology * multiproxy * heatmap * principal component analysis
    OECD category: Physical geography
    Impact factor: 6.367, year: 2021
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S0341816220306378?via%3Dihub
    Permanent Link: http://hdl.handle.net/11104/0321299
    FileDownloadSizeCommentaryVersionAccess
    UGN_0544265.pdf08.2 MBPublisher’s postprintopen-access
     
     
  7. 7.
    0542554 - ÚVGZ 2022 RIV HU eng J - Journal Article
    Egidi, G. - Edwards, Magda - Cividino, S. - Gambella, F. - Salvati, Luca
    Exploring non-linear relationships among redundant variables through non-parametric principal component analysis: An empirical analysis with land-use data.
    Regional Statistics. Roč. 11, č. 1 (2021), s. 25-41. ISSN 2063-9538. E-ISSN 2064-8243
    Research Infrastructure: CzeCOS III - 90123
    Institutional support: RVO:86652079
    Keywords : species-diversity * landscape * growth * region * assemblages * indicators * indexes * sprawl * level * city * multidimensional techniques * spearman non-parametric coefficients * Principal Component Analysis (PCA) * large data sets * indicators * regional science
    OECD category: Physical geography
    Method of publishing: Limited access
    https://www.academia.edu/44560921/Exploring_non_linear_relationships_among_redundant_variables_through_non_parametric_principal_component_analysis_An_empirical_analysis_with_land_use_data
    Permanent Link: http://hdl.handle.net/11104/0319941
     
     
  8. 8.
    0542539 - ÚFA 2022 DE eng A - Abstract
    Bezděková, B. - Němec, F. - Parrot, M. - Manninen, Y. - Krupařová, Oksana - Krupař, Vratislav
    Variations of VLF Wave Intensity Analyzed via Principal Component Analysis.
    EGU General Assembly 2021 (vEGU21: Gather Online). Göttingen: European Geosciences Union, 2021.
    [EGU General Assembly Conference 2021. 19.04.2021-30.04.2021, online]
    Institutional support: RVO:68378289
    Keywords : very low frequency (VLF) wave * demeter spacecraft measurements * principal component analysis (PCA)
    OECD category: Fluids and plasma physics (including surface physics)
    https://meetingorganizer.copernicus.org/EGU21/EGU21-2805.html
    Permanent Link: http://hdl.handle.net/11104/0319933
     
     
  9. 9.
    0541919 - ÚACH 2022 RIV DE eng J - Journal Article
    Hron, K. - Coenders, G. - Filzmoser, P. - Palarea-Albaladejo, J. - Faměra, Martin - Matys Grygar, Tomáš
    Analysing Pairwise Logratios Revisited.
    Mathematical Geosciences. Roč. 53, č. 7 (2021), s. 1643-1666. ISSN 1874-8961. E-ISSN 1874-8953
    R&D Projects: GA ČR(CZ) GA19-01768S
    Institutional support: RVO:61388980
    Keywords : Additive logratio coordinates * Linear regression with compositional covariates * Pairwise logratios * Pivot coordinates * Principal component analysis
    OECD category: Environmental sciences (social aspects to be 5.7)
    Impact factor: 2.508, year: 2021
    Method of publishing: Open access with time embargo
    Permanent Link: http://hdl.handle.net/11104/0322724
    FileDownloadSizeCommentaryVersionAccess
    Analysing.pdf0763.1 KBPublisher’s postprintrequire
     
     
  10. 10.
    0541896 - ÚFA 2022 RIV US eng J - Journal Article
    Huth, Radan - Beranová, Romana
    How to Recognize a True Mode of Atmospheric Circulation Variability.
    Earth and Space Science. Roč. 8, č. 3 (2021), č. článku e2020EA001275. E-ISSN 2333-5084
    R&D Projects: GA ČR(CZ) GA17-07043S
    Institutional support: RVO:68378289
    Keywords : Arctic oscillation * Barents oscillation * North Atlantic Oscillation * modes of low-frequency variability * principal component analysis * teleconnections
    OECD category: Meteorology and atmospheric sciences
    Impact factor: 3.680, year: 2021
    Method of publishing: Open access
    https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020EA001275
    Permanent Link: http://hdl.handle.net/11104/0319392
    FileDownloadSizeCommentaryVersionAccess
    0541896 _ESS_Huth_2021.pdf23.2 MBPublisher’s postprintopen-access
     
     

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