Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery

Additional file 1: Table S1. Table of number of genes, and genes in KEGG signaling pathways contained in HiPathia R package sharing an increasing number of RP-HPO terms.

Detalles Bibliográficos
Autores: Esteban-Medina, Marina, Loucera, Carlos, Rian, Kinza, Velasco, Sheyla, Olivares-González, Lorena, Rodrigo, Regina, Dopazo, Joaquín, Peña-Chilet, María
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/360275
Acceso en línea:http://hdl.handle.net/10261/360275
Access Level:acceso abierto
Palabra clave:Retinitis pigmentosa
Rare diseases
Drug-repurposing
Disease maps
GABAergic neurotransmission
Systems medicine
Target-discovery
id ES_cb8ea2abdc3e3cc4e9494f40ce8ef034
oai_identifier_str oai:digital.csic.es:10261/360275
network_acronym_str ES
network_name_str España
repository_id_str
spelling Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discoveryEsteban-Medina, MarinaLoucera, CarlosRian, KinzaVelasco, SheylaOlivares-González, LorenaRodrigo, ReginaDopazo, JoaquínPeña-Chilet, MaríaRetinitis pigmentosaRare diseasesDrug-repurposingDisease mapsGABAergic neurotransmissionSystems medicineTarget-discoveryAdditional file 1: Table S1. Table of number of genes, and genes in KEGG signaling pathways contained in HiPathia R package sharing an increasing number of RP-HPO terms.Consejería de Salud y Consumo, Junta de AndalucíaH2020 Marie Skłodowska-Curie ActionsMinisterio de Ciencia e InnovaciónInstituto de Salud Carlos IIIConselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat ValencianaPeer reviewedFigshareMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Junta de AndalucíaInstituto de Salud Carlos IIIGeneralitat ValencianaEsteban-Medina, Marina [0000-0003-2632-9587]Loucera, Carlos [0000-0001-9598-6965]Dopazo, Joaquín [0000-0003-3318-120X]Peña-Chilet, María [0000-0002-6445-9617]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1application/vnd.ms-excelhttp://hdl.handle.net/10261/360275reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésEsteban-Medina, Marina; Loucera, Carlos; Rian, Kinza; Velasco, Sheyla; Olivares-González, Lorena; Rodrigo, Regina; Dopazo, Joaquín; Peña-Chilet, María. The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery. https://doi.org/10.1186/s12967-024-04911-7. http://hdl.handle.net/10261/360273https://doi.org/10.6084/m9.figshare.25157293.v1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3602752026-05-22T06:33:51Z
dc.title.none.fl_str_mv Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
title Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
spellingShingle Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
Esteban-Medina, Marina
Retinitis pigmentosa
Rare diseases
Drug-repurposing
Disease maps
GABAergic neurotransmission
Systems medicine
Target-discovery
title_short Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
title_full Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
title_fullStr Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
title_full_unstemmed Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
title_sort Additional file 1 of The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
dc.creator.none.fl_str_mv Esteban-Medina, Marina
Loucera, Carlos
Rian, Kinza
Velasco, Sheyla
Olivares-González, Lorena
Rodrigo, Regina
Dopazo, Joaquín
Peña-Chilet, María
author Esteban-Medina, Marina
author_facet Esteban-Medina, Marina
Loucera, Carlos
Rian, Kinza
Velasco, Sheyla
Olivares-González, Lorena
Rodrigo, Regina
Dopazo, Joaquín
Peña-Chilet, María
author_role author
author2 Loucera, Carlos
Rian, Kinza
Velasco, Sheyla
Olivares-González, Lorena
Rodrigo, Regina
Dopazo, Joaquín
Peña-Chilet, María
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Junta de Andalucía
Instituto de Salud Carlos III
Generalitat Valenciana
Esteban-Medina, Marina [0000-0003-2632-9587]
Loucera, Carlos [0000-0001-9598-6965]
Dopazo, Joaquín [0000-0003-3318-120X]
Peña-Chilet, María [0000-0002-6445-9617]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Retinitis pigmentosa
Rare diseases
Drug-repurposing
Disease maps
GABAergic neurotransmission
Systems medicine
Target-discovery
topic Retinitis pigmentosa
Rare diseases
Drug-repurposing
Disease maps
GABAergic neurotransmission
Systems medicine
Target-discovery
description Additional file 1: Table S1. Table of number of genes, and genes in KEGG signaling pathways contained in HiPathia R package sharing an increasing number of RP-HPO terms.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/360275
url http://hdl.handle.net/10261/360275
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Esteban-Medina, Marina; Loucera, Carlos; Rian, Kinza; Velasco, Sheyla; Olivares-González, Lorena; Rodrigo, Regina; Dopazo, Joaquín; Peña-Chilet, María. The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery. https://doi.org/10.1186/s12967-024-04911-7. http://hdl.handle.net/10261/360273
https://doi.org/10.6084/m9.figshare.25157293.v1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/vnd.ms-excel
dc.publisher.none.fl_str_mv Figshare
publisher.none.fl_str_mv Figshare
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419598708736000
score 15.811543

Similares en LA Referencia