Yael Garten

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #22,816 of 35,345 by trust here, #21,316 by citations
• Molecular Biology — 11 citations into it; #4,403 of 17,773 by trust here, #11,019 by citations
• Computational Theory and Mathematics — 5 citations into it; #4,399 of 12,182 by trust here, #5,724 by citations

Whom Yael Garten trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Emidio Capriotti
2. Daniel L. Rubin
3. Carol Friedman
4. Remo Calabrese
5. Aaron M. Cohen
6. Hao Chen
7. Caroline F. Thorn
8. Marcelo Fiszman
9. Rita Casadio
10. Teri E. Klein

Who trusts Yael Garten overall

1. Yuan Luo
2. Caroline F. Thorn
3. Ozlem Uzuner
4. Peter Szolovits
5. Teri E. Klein
6. Russ B. Altman
7. Zexian Zeng
8. Hui Huang

Papers from Yael Garten's perspective

Ordered by how strongly the researchers Yael Garten trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles (Intelligent Systems in Molecular Biology)
2. Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature
3. Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information
4. Accurate Unlexicalized Parsing
5. Application of Information Technology: A Statistical Approach to Scanning the Biomedical Literature for Pharmacogenetics Knowledge
6. Content-rich biological network constructed by mining PubMed abstracts (BMC Bioinformatics)
7. Using text to build semantic networks for pharmacogenomics
8. A survey of current work in biomedical text mining
9. LIBSVM: A library for support vector machines
10. PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine (BMC Bioinformatics)

Their papers

• DISCOVERY AND EXPLANATION OF DRUG-DRUG INTERACTIONS VIA TEXT MINING (2011) — 142 citations
• Using text to build semantic networks for pharmacogenomics (2010) — 69 citations
• Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text (2009) — 130 citations