Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Monica Chiogna"'
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 5 (2020)
Verification bias is a well known problem that can affect the statistical evaluation of the predictive ability of a diagnostic test when the true disease status is unknown for some of the patients under study. In this paper, we deal with the assessme
Externí odkaz:
https://doaj.org/article/f3dfb98a9ffb4376b225a98c2b67b854
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1007357 (2019)
Topological gene-set analysis has emerged as a powerful means for omic data interpretation. Although numerous methods for identifying dysregulated genes have been proposed, few of them aim to distinguish genes that are the real source of perturbation
Externí odkaz:
https://doaj.org/article/1c62aead9b4247778fdf74e9cc664bdc
Publikováno v:
Statistics & Probability Letters. 193:109732
Autor:
Vera Djordjilović, Monica Chiogna
We look at a two-sample problem within the framework of decomposable graphical models. When the global hypothesis of equality of two distributions is rejected, the interest is usually in localizing the source of di erence. Motivated by the idea that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe6cc7e24a1acb3ec0ffeb793cd3f83a
http://hdl.handle.net/10278/3758811
http://hdl.handle.net/10278/3758811
Statistical evaluation of diagnostic tests, and, more generally, of biomarkers, is a constantly developing field, in which complexity of the assessment increases with the complexity of the design under which data are collected. One particularly preva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac6549542e582f1344c30ff2a98a01d
https://hdl.handle.net/11577/3420114
https://hdl.handle.net/11577/3420114
Publikováno v:
Duc-Khanh, To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b34a98370be7385befc2827974213756
http://hdl.handle.net/11577/3455373
http://hdl.handle.net/11577/3455373
A study is presented for exploring the possibility of applying the source set approach (Djordjilovic V, Chiogna M.(2018)), developed under the assumption of normality, to count data, after data transformation. Some explanations about the source set a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::c11a0c5cab1c0184bd3875debf23249c
http://hdl.handle.net/11585/826411
http://hdl.handle.net/11585/826411
Summary We propose a novel method for simulating the effects of gene silencing. Our approach combines relevant subject matter information provided by biological pathways with gene expression levels measured in regular conditions to predict the behavi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e00b5cd14a5c06f4052b8645c632f70
http://hdl.handle.net/10278/3728773
http://hdl.handle.net/10278/3728773
Biological processes involve complex interactions between genes. Such interactions may be represented employing a conditional independence graph. Here, we propose the use of a PC-stable algorithm to estimate the neighbourhood of each node in the grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::8afecc3e3e705afc891555d8b983ad57
http://hdl.handle.net/11585/779977
http://hdl.handle.net/11585/779977
Publikováno v:
Duc-Khanh, To
We tackle estimation of receiver operating characteristic (ROC) surfaces and selection of the optimal pair of thresholds for continuous diagnostic tests given covariates in clustered data when the disease status is described by three ordinal classes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d3b5a887f38771f7f1935cc8782f2995
http://hdl.handle.net/11577/3356127
http://hdl.handle.net/11577/3356127