Repository logo
 
Publication

A machine learning approach for the prioritization of disease-associated genetic variants from ngs datasets

dc.contributor.authorMartiniano, Hugo
dc.contributor.authorVilela, Joana
dc.contributor.authorMarques, Ana R.
dc.contributor.authorSantos, João
dc.contributor.authorRasga, Célia
dc.contributor.authorVicente, Astrid
dc.date.accessioned2021-03-13T18:05:35Z
dc.date.available2021-03-13T18:05:35Z
dc.date.issued2020-11-20
dc.description.abstractOur objective is to develop variant prioritization methods using machine learning approaches to predict genotype-phenotype associations, that can detect the most likely causal variants associated to a given phenotype.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.18/7478
dc.language.isoengpt_PT
dc.subjectAutism Spectrum Disorderpt_PT
dc.subjectASDpt_PT
dc.subjectMachine Learning Approachespt_PT
dc.subjectPerturbações do Desenvolvimento Infantil e Saúde Mentalpt_PT
dc.titleA machine learning approach for the prioritization of disease-associated genetic variants from ngs datasetspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboa, Portugal (online)pt_PT
oaire.citation.title24ª Reunião Científica da Sociedade Portuguesa de Genética Humana, 20 novembro 2020pt_PT
rcaap.rightsembargoedAccesspt_PT
rcaap.typeconferenceObjectpt_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
A MACHINE LEARNING APPROACH FOR THE PRIORITIZATION OF DISEASE-ASSOCIATED GENETIC VARIANTS FROM NGS DATASETS.pdf
Size:
525.94 KB
Format:
Adobe Portable Document Format