Výsledky vyhledávání - "data matrices"

Clusterwise Independent Component Analysis (C-ICA)

Autor: Durieux, J., Rombouts, S.A.R.B., Vos, F. de, Koini, M., Wilderjans, T.F.

Publikováno v: Journal of Neuroscience Methods, 382:109718. ELSEVIER
Journal of Neuroscience Methods, 382. ELSEVIER
Durieux, J, Rombouts, S A R B, de Vos, F, Koini, M & Wilderjans, T F 2022, ' Clusterwise Independent Component Analysis (C-ICA) : Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes ', Journal of Neuroscience Methods, vol. 382, 109718, pp. 1-24 . https://doi.org/10.1016/j.jneumeth.2022.109718
Journal of Neuroscience Methods, 382:109718. Elsevier
Journal of Neuroscience Methods, 382:109718, 1-24. Elsevier

BACKGROUND: FMRI resting state networks (RSNs) are used to characterize brain disorders. They also show extensive heterogeneity across patients. Identifying systematic differences between RSNs in patients, i.e. discovering neurofunctional subtypes, m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45d2fb253471e866f4db9c47090e2352
https://doi.org/10.1016/j.jneumeth.2022.109718

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Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures

Autor: Andrzej J. Kałka, Andrzej M. Turek

Publikováno v: Journal of Fluorescence

Graphical abstract In spite of a rapid growth of data processing software, that has allowed for a huge advancement in many fields of chemistry, some research issues still remain problematic. A standard example of a troublesome challenge is the analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b71f48dfd65c5730229d91c366c882
http://europepmc.org/articles/PMC8547214

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Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 2 – Assembling disparate data resources, and preparations for reporting them

Autor: Pratt, A.C., Bennett, T.

This CICERONE paper (D4.3) is part of series addressing the problem of the lack of data available to describe the Cultural and Creative Sector (CCS) production system. This series explains how and why the currently available data is insufficient in i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395a5e5f8752859621c91048b65c9913

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Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation

Autor: Véronique Cariou, Marie-Cécile Alexandre-Gouabau, Tom F. Wilderjans

Publikováno v: Journal of Chemometrics
Journal of Chemometrics, Wiley, 2021, 35 (2), ⟨10.1002/cem.3269⟩
Journal of Chemometrics, 35:e3269. WILEY

International audience; The set-up of comprehensive studies in life sciences involving a longitudinal dimension-as appears in time-scale metabolomics-calls for the use of dimension reduction techniques for three-way data structures (e.g., samples by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4158403678dc2fccd73450af38307f15
https://hal.inrae.fr/hal-03191052

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Chain Reversion for Detecting Associations in Interacting Variables—St. Nicolas House Analysis

Autor: Detlef Groth, Christian Aßmann, Michael Hermanussen

Publikováno v: International Journal of Environmental Research and Public Health, Vol 18, Iss 1741, p 1741 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 4

(1) Background: We present a new statistical approach labeled as “St. Nicolas House Analysis” (SNHA) for detecting and visualizing extensive interactions among variables. (2) Method: We rank absolute bivariate correlation coefficients in descendi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::955636679533d0e6c83c96836fa19167
https://www.mdpi.com/1660-4601/18/4/1741

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Robust Principal Component Analysis-based Prediction of Protein-Protein Interaction Hot spots ( {RBHS} )

Autor: Mercedes Alfonso-Prieto, Divya Sitani, Paolo Carloni, Alejandro Giorgetti

Publikováno v: Proteins 89(6), 639-647 (2021). doi:10.1002/prot.26047

Proteins often exert their function by binding to other cellular partners. The hot spots are key residues for protein-protein binding. Their identification may shed light on the impact of disease associated mutations on protein complexes and help des

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c87f25463703faeca5c946b61013d025
http://hdl.handle.net/11562/1039242

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Svojstvene vrijednosti kovarijacijskih matrica za razdiobe teških repova

Autor: Šterc, Ante

Posljednjih godina, motivirani zahtjevima iz primjena, mnogi matematičari svoja su istraživanja usmjerili na slučajne matrice rastućih dimenzija. U ovom radu opisani su razlozi usmjeravanja pažnje na uzoračke kovarijacijske i korelacijske matri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3908::0d57f2193f0db57137dc480985fe70ac
https://repozitorij.pmf.unizg.hr/islandora/object/pmf:6060

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