His primary areas of study are World Wide Web, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Pacific islanders. His World Wide Web study incorporates themes from Query language and Information retrieval. His research on Genome-wide association study concerns the broader Genetics.
His Genetic association study combines topics from a wide range of disciplines, such as Genetic architecture and Genomics. His work deals with themes such as Population genetics and Allele frequency, which intersect with Single-nucleotide polymorphism. José Luis Ambite interconnects Information integration and Knowledge representation and reasoning in the investigation of issues within Web modeling.
José Luis Ambite focuses on Information retrieval, Data science, Genome-wide association study, Data integration and World Wide Web. His Data science research integrates issues from Data sharing and Big data. His Genome-wide association study research incorporates elements of SNP, Genetic association and Genomics.
His work carried out in the field of Genetic association brings together such families of science as Genetic epidemiology, Pacific islanders, Bioinformatics and Genetic architecture. As part of his studies on World Wide Web, José Luis Ambite frequently links adjacent subjects like Information integration. His biological study spans a wide range of topics, including RDF and Data mining.
His primary scientific interests are in Artificial intelligence, Data science, Deep learning, Genomics and Machine learning. When carried out as part of a general Artificial intelligence research project, his work on Embedding is frequently linked to work in Process, therefore connecting diverse disciplines of study. In his study, which falls under the umbrella issue of Data science, Field, Biomedicine and Linked data is strongly linked to Big data.
His research on Deep learning also deals with topics like
José Luis Ambite mainly investigates Genome-wide association study, Genetic association, Disease, Genomics and Artificial intelligence. His Genome-wide association study study improves the overall literature in Single-nucleotide polymorphism. His Genetic association research is multidisciplinary, incorporating perspectives in Health equity, Precision medicine and Genetic architecture.
He has researched Disease in several fields, including Biobank and Population health. His Genomics research includes elements of Chromosome, Computational biology and Pairwise comparison. His Artificial intelligence research includes themes of Domain, Set and Natural language processing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Modeling Web sources for information integration
Craig A. Knoblock;Steven Minton;José Luis Ambite;Naveen Ashish.
national conference on artificial intelligence (1998)
Semi-automatically mapping structured sources into the semantic web
Craig A. Knoblock;Pedro Szekely;José Luis Ambite;Aman Goel.
international semantic web conference (2012)
Genetic analyses of diverse populations improves discovery for complex traits
Genevieve L. Wojcik;Mariaelisa Graff;Katherine K. Nishimura;Ran Tao.
The Ariadne approach to Web- based information integration
Craig A. Knoblock;Steven Minton;Jose Luis Ambite;Naveen Ashish.
International Journal of Cooperative Information Systems (2001)
Web service composition as planning
Mark Carman;Jose Luis Ambite;Luciano Serafini;Craig Knoblock.
ICAPS Workshop on Planning for Web Services (2003)
Integration of heterogeneous knowledge sources in the CALO query manager
José Luis Ambite;Vinay K. Chaudhri;Richard Fikes;Jessica Jenkins.
international conference on move to meaningful internet systems (2005)
Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.
Logan Dumitrescu;Cara L. Carty;Kira Taylor;Fredrick R. Schumacher.
PLOS Genetics (2011)
Phenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network
Sarah A. Pendergrass;Kristin Brown-Gentry;Scott Dudek;Alex Frase.
PLOS Genetics (2013)
Agents for information gathering
J.L. Ambite;C.A. Knoblock.
IEEE Intelligent Systems (1997)
The Next PAGE in Understanding Complex Traits: Design for the Analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study
Tara C. Matise;Jose Luis Ambite;Steven Buyske;Christopher S. Carlson.
American Journal of Epidemiology (2011)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: