DISA tool
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/145247 |
Resumo: | CEECIND/01399/2017 |
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7160 |
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DISA toolDiscriminative and informative subspace assessment with categorical and numerical outcomesarticlebiomedicinebiotechnologydiscretizationhumanlicenceoutcome assessmentvaliditycluster analysissoftwareGeneralCEECIND/01399/2017Pattern discovery and subspace clustering play a central role in the biological domain, supporting for instance putative regulatory module discovery from omics data for both descriptive and predictive ends. In the presence of target variables (e.g. phenotypes), regulatory patterns should further satisfy delineate discriminative power properties, well-established in the presence of categorical outcomes, yet largely disregarded for numerical outcomes, such as risk profiles and quantitative phenotypes. DISA (Discriminative and Informative Subspace Assessment), a Python software package, is proposed to evaluate patterns in the presence of numerical outcomes using well-established measures together with a novel principle able to statistically assess the correlation gain of the subspace against the overall space. Results confirm the possibility to soundly extend discriminative criteria towards numerical outcomes without the drawbacks well-associated with discretization procedures. Results from four case studies confirm the validity and relevance of the proposed methods, further unveiling critical directions for research on biotechnology and biomedicine. Availability: DISA is freely available at https://github.com/JupitersMight/DISA under the MIT license.LAQV@REQUIMTEDQ - Departamento de QuímicaRUNAlexandre, LeonardoCosta, R. S.Henriques, Rui2022-11-04T22:10:49Z2022-10-192022-10-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/145247eng1932-6203PURE: 47209287https://doi.org/10.1371/journal.pone.0276253info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:25:25Zoai:run.unl.pt:10362/145247Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:58.802848Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
DISA tool Discriminative and informative subspace assessment with categorical and numerical outcomes |
title |
DISA tool |
spellingShingle |
DISA tool Alexandre, Leonardo article biomedicine biotechnology discretization human licence outcome assessment validity cluster analysis software General |
title_short |
DISA tool |
title_full |
DISA tool |
title_fullStr |
DISA tool |
title_full_unstemmed |
DISA tool |
title_sort |
DISA tool |
author |
Alexandre, Leonardo |
author_facet |
Alexandre, Leonardo Costa, R. S. Henriques, Rui |
author_role |
author |
author2 |
Costa, R. S. Henriques, Rui |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
LAQV@REQUIMTE DQ - Departamento de Química RUN |
dc.contributor.author.fl_str_mv |
Alexandre, Leonardo Costa, R. S. Henriques, Rui |
dc.subject.por.fl_str_mv |
article biomedicine biotechnology discretization human licence outcome assessment validity cluster analysis software General |
topic |
article biomedicine biotechnology discretization human licence outcome assessment validity cluster analysis software General |
description |
CEECIND/01399/2017 |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-04T22:10:49Z 2022-10-19 2022-10-19T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/145247 |
url |
http://hdl.handle.net/10362/145247 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1932-6203 PURE: 47209287 https://doi.org/10.1371/journal.pone.0276253 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
19 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138111786057728 |