A network medicine approach to quantify distance between hereditary disease modules on the interactome
We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms pr...
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| Altres autors: | , |
| Format: | article |
| Idioma: | anglès |
| Publicat: |
2015
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| Accés en línia: | http://hdl.handle.net/20.500.14066/2788 |
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| _version_ | 1870612065321746432 |
|---|---|
| author | Caniza Vierci, Horacio José |
| author2 | Romero, Alfonso Burgos Edwards, Alberto Javier |
| author2_role | author author |
| author_browse | Burgos Edwards, Alberto Javier Caniza Vierci, Horacio José Romero, Alfonso |
| author_facet | Caniza Vierci, Horacio José Romero, Alfonso Burgos Edwards, Alberto Javier |
| author_role | author |
| bitstream.checksum.fl_str_mv | 04d599c4ee6ddda591c7214f60f3f0e4 858b22fda432bd774e469302988c1974 d7bc29b048eb4756d83cc89fe8055ee7 4d39fe5f4e3b5ba4b1ebaaa57d6edcdb |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/1/14-inv-088art2.pdf http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/2/license.txt http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/4/14-inv-088art2.pdf.txt http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/5/14-inv-088art2.pdf.jpg |
| dc.creator.none.fl_str_mv | Caniza Vierci, Horacio José Romero, Alfonso Burgos Edwards, Alberto Javier |
| dc.date.accessioned.none.fl_str_mv | 2022-04-05T00:22:49Z |
| dc.date.available.none.fl_str_mv | 2022-04-05T00:22:49Z |
| dc.date.issued.none.fl_str_mv | 2015-12-03 |
| dc.identifier.doi.es.fl_str_mv | 10.1038/srep17658 |
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.14066/2788 |
| dc.language.iso.es.fl_str_mv | eng |
| dc.relation.projectCONACYT.es.fl_str_mv | 14-INV-088 |
| dc.rights.accessRights.es.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.classification.es.fl_str_mv | 1303 I+D en relación con las Ciencias médicas |
| dc.subject.ocde.es.fl_str_mv | TERMINOLOGIA |
| dc.subject.other.es.fl_str_mv | MESH TERMS BIOMEDICAL LITERATURE BIOMEDICINA TELEMEDICINA |
| dc.title.es.fl_str_mv | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| dc.type.es.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | CONACYT_14aff4d6a05eee2628fac9e5bf620b34 |
| identifier_str_mv | 10.1038/srep17658 |
| language | eng |
| network_acronym_str | CONACYT |
| network_name_str | Repositorio Institucional CONACYT |
| oai_identifier_str | oai:repositorio.conacyt.gov.py:20.500.14066/2788 |
| publishDate | 2015 |
| publishDateSort | 2015 |
| repository.mail.fl_str_mv | repositorio.institucional@conacyt.gov.py |
| repository.name.fl_str_mv | Repositorio Institucional CONACYT |
| repository_id_str | |
| spelling | 244600d08ffba0-ddaf-49f8-b09a-293cb92a3f1c6008516002022-04-05T00:22:49Z2022-04-05T00:22:49Z2015-12-03http://hdl.handle.net/20.500.14066/278810.1038/srep17658We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure.Consejo Nacional de Ciencia y TecnologíaPROCIENCIAeng1303 I+D en relación con las Ciencias médicasMESH TERMSBIOMEDICAL LITERATUREBIOMEDICINATELEMEDICINATERMINOLOGIAA network medicine approach to quantify distance between hereditary disease modules on the interactomeinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion17658Scientific Reports11014-INV-088info:eu-repo/semantics/openAccess5Caniza Vierci, Horacio JoséRomero, AlfonsoBurgos Edwards, Alberto JavierORIGINAL14-inv-088art2.pdf14-inv-088art2.pdfapplication/pdf1186318http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/1/14-inv-088art2.pdf04d599c4ee6ddda591c7214f60f3f0e4MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81698http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/2/license.txt858b22fda432bd774e469302988c1974MD52TEXT14-inv-088art2.pdf.txt14-inv-088art2.pdf.txtExtracted texttext/plain36942http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/4/14-inv-088art2.pdf.txtd7bc29b048eb4756d83cc89fe8055ee7MD54THUMBNAIL14-inv-088art2.pdf.jpg14-inv-088art2.pdf.jpgIM Thumbnailimage/jpeg7546http://repositorio.conacyt.gov.py/bitstream/20.500.14066/2788/5/14-inv-088art2.pdf.jpg4d39fe5f4e3b5ba4b1ebaaa57d6edcdbMD5520.500.14066/2788oai:repositorio.conacyt.gov.py:20.500.14066/27882026-02-12 19:30:22.858Repositorio Institucional CONACYTrepositorio.institucional@conacyt.gov.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 |
| spellingShingle | A network medicine approach to quantify distance between hereditary disease modules on the interactome Caniza Vierci, Horacio José 1303 I+D en relación con las Ciencias médicas MESH TERMS BIOMEDICAL LITERATURE BIOMEDICINA TELEMEDICINA TERMINOLOGIA |
| status_str | publishedVersion |
| title | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| title_full | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| title_fullStr | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| title_full_unstemmed | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| title_short | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| title_sort | A network medicine approach to quantify distance between hereditary disease modules on the interactome |
| topic | 1303 I+D en relación con las Ciencias médicas MESH TERMS BIOMEDICAL LITERATURE BIOMEDICINA TELEMEDICINA TERMINOLOGIA |
| url | http://hdl.handle.net/20.500.14066/2788 |