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Bioelectric Impedance Analysis Test Improves the Detection of Prostate Cancer in Biopsy Candidates: A Multifeature Decision Support System

Autor: Riccardo Bartoletti, Alberto Greco, Tommaso Di Vico, Jacopo Durante, Vincenzo Ficarra, Enzo Pasquale Scilingo, Gaetano Valenza

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

Prostate cancer (PCa) gold-standard diagnosis relies on prostate biopsy, which is currently overly recommended since other available noninvasive tools such as prostate-specific antigen (PSA) multiparametric MRI (mMRI) showed low diagnostic accuracy o

Externí odkaz: https://doaj.org/article/16bc7d510b7547339cd422fd8a7f8f55

'Notame': Workflow for Non-Targeted LC–MS Metabolic Profiling

Autor: Anton Klåvus, Marietta Kokla, Stefania Noerman, Ville M. Koistinen, Marjo Tuomainen, Iman Zarei, Topi Meuronen, Merja R. Häkkinen, Soile Rummukainen, Ambrin Farizah Babu, Taisa Sallinen, Olli Kärkkäinen, Jussi Paananen, David Broadhurst, Carl Brunius, Kati Hanhineva

Publikováno v: Metabolites, Vol 10, Iss 4, p 135 (2020)

Metabolomics analysis generates vast arrays of data, necessitating comprehensive workflows involving expertise in analytics, biochemistry and bioinformatics in order to provide coherent and high-quality data that enable discovery of robust and biolog

Externí odkaz: https://doaj.org/article/ed2461e0eaf644e080563724932e699c

Computational and Statistical Methods for Analysing Big Data with Applications.

Autor: SAVAS, BERKANT¹

Publikováno v: SIAM Review. 2018, Vol. 60 Issue 2, p485-487. 3p.

Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence

Autor: Gersende Fort, Pierre Gach, Eric Moulines

Publikováno v: Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), In press, 31 (48)
Statistics and Computing, In press, 31 (48), ⟨10.1007/s11222-021-10023-9⟩

Fast incremental expectation maximization (FIEM) is a version of the EM framework for large datasets. In this paper, we first recast FIEM and other incremental EM type algorithms in the Stochastic Approximation within EM framework. Then, we provide n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87e42224ab0a892f1c4ea7a9c72d4915
https://hal.archives-ouvertes.fr/hal-02617725v2/file/FGM_HAL.pdf