Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Panagiotis Mandros"'
Autor:
Enakshi Saha, Marouen Ben Guebila, Viola Fanfani, Jonas Fischer, Katherine H. Shutta, Panagiotis Mandros, Dawn L. DeMeo, John Quackenbush, Camila M. Lopes-Ramos
Publikováno v:
Biology of Sex Differences, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Background Lung adenocarcinoma (LUAD) has been observed to have significant sex differences in incidence, prognosis, and response to therapy. However, the molecular mechanisms responsible for these disparities have not been investigated exte
Externí odkaz:
https://doaj.org/article/715d287c72b24735b7f881adadf25435
Publikováno v:
KDD 2020-26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD 2020-26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2020, San Diego / Virtual, United States. pp.1254--1264
KDD
KDD 2020-26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2020, San Diego / Virtual, United States. pp.1254--1264
KDD
International audience; We consider the task of discovering the top-K reliable approximate functional dependencies X → Y from high dimensional data. While naively maximizing mutual information involving high dimensional entropies over empirical dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355a22f0e573cbb920d08485eeb62821
https://hal-centralesupelec.archives-ouvertes.fr/hal-02880553/file/smoothed-info-article-without-ACM.pdf
https://hal-centralesupelec.archives-ouvertes.fr/hal-02880553/file/smoothed-info-article-without-ACM.pdf
Publikováno v:
KDD
Given complex data collections, practitioners can perform non-parametric functional dependency discovery (FDD) to uncover relationships between variables that were previously unknown. However, known FDD methods are applicable to nominal data, and in
Publikováno v:
Knowledge and Information Systems
We consider the task of discovering functional dependencies in data for target attributes of interest. To solve it, we have to answer two questions: How do we quantify the dependency in a model-agnostic and interpretable way as well as reliably again
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65643d480edd758ad5ff05612390bd2f
https://hdl.handle.net/21.11116/0000-0006-DC90-F21.11116/0000-0006-DC92-D
https://hdl.handle.net/21.11116/0000-0006-DC90-F21.11116/0000-0006-DC92-D
Publikováno v:
ICDM
In many scientific tasks we are interested in discovering whether there exist any correlations in our data. This raises many questions, such as how to reliably and interpretably measure correlation between a multivariate set of attributes, how to do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f561453e3bc6b407b8b2a3025af169f3
Publikováno v:
IJCAI
Scopus-Elsevier
ICDM
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Scopus-Elsevier
ICDM
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
The reliable fraction of information is an attractive score for quantifying (functional) dependencies in high-dimensional data. In this paper, we systematically explore the algorithmic implications of using this measure for optimization. We show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c542101e2d364695bb19faa064bcf2d2
https://hdl.handle.net/21.11116/0000-0002-9EC9-A21.11116/0000-0002-9ECB-8
https://hdl.handle.net/21.11116/0000-0002-9EC9-A21.11116/0000-0002-9ECB-8
Given a database and a target attribute of interest, how can we tell whether there exists a functional, or approximately functional dependence of the target on any set of other attributes in the data? How can we reliably, without bias to sample size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82c9aeb7c4cffeed58791e444daee2dd
https://hdl.handle.net/11858/00-001M-0000-002D-90FA-911858/00-001M-0000-002D-90F8-D
https://hdl.handle.net/11858/00-001M-0000-002D-90FA-911858/00-001M-0000-002D-90F8-D
Autor:
Soel Micheletti
Since the initial sequencing of the human genome in 2001, the field of systems biology has strived to understand gene regulatory mechanisms, in particular the role of transcription factor binding. This is crucial to inform our understanding of diseas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8541e8c177e4974b8815c8a8dcdb1f0c