Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gian-Andrea Thanei"'
Autor:
Amit Bar-Or, Gian-Andrea Thanei, Christopher Harp, Corrado Bernasconi, Ulrike Bonati, Anne H. Cross, Saloumeh Fischer, Laura Gaetano, Stephen L. Hauser, Robert Hendricks, Ludwig Kappos, Jens Kuhle, David Leppert, Fabian Model, Annette Sauter, Harold Koendgen, Xiaoming Jia, Ann E. Herman
Publikováno v:
EBioMedicine, Vol 93, Iss , Pp 104662- (2023)
Summary: Background: Neurofilament light chain (NfL), a neuronal cytoskeletal protein that is released upon neuroaxonal injury, is associated with multiple sclerosis (MS) relapsing activity and has demonstrated some prognostic ability for future rela
Externí odkaz:
https://doaj.org/article/e7ff9f024a2e4966833fd5346456e54f
Autor:
Christopher Harp, Gian‐Andrea Thanei, Xiaoming Jia, Jens Kuhle, David Leppert, Sabine Schaedelin, Pascal Benkert, H‐Christian vonBüdingen, Robert Hendricks, Ann Herman
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 9, Iss 4, Pp 444-453 (2022)
Abstract Objective To develop an age‐adjustment model for neurofilament light chain (NfL), an emerging injury marker in patients with a range of neurologic conditions including multiple sclerosis (MS). Methods Serum and plasma samples were collecte
Externí odkaz:
https://doaj.org/article/1a5e4b21ae0e4f59a29500d4af954d39
Publikováno v:
Journal of the Royal Statistical Society. Series B, Statistical Methodology, 82 (2)
We consider the problem of estimating a high dimensional p×p covariance matrix Σ, given n observations of confounded data with covariance Σ + ΓΓT, where Γ is an unknown p×q matrix of latent factor loadings. We propose a simple and scalable est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bdf7e14eef56b21dcabdf40cd4e67d1
Publikováno v:
Contributions to Statistics ISBN: 9783319415727
Fitting linear regression models can be computationally very expensive in large-scale data analysis tasks if the sample size and the number of variables are very large. Random projections are extensively used as a dimension reduction tool in machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aefe7a4be3cb72833bf2add9bbfd3e9
https://doi.org/10.1007/978-3-319-41573-4_3
https://doi.org/10.1007/978-3-319-41573-4_3