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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by William Baumgartner and Michael Bada.

 
Connection Strength
 
 
 
0.532
 
  1. Bada M, Vasilevsky N, Baumgartner WA, Haendel M, Hunter LE. Gold-standard ontology-based anatomical annotation in the CRAFT Corpus. Database (Oxford). 2017 Jan 01; 2017.
    View in: PubMed
    Score: 0.178
  2. Bada M, Eckert M, Evans D, Garcia K, Shipley K, Sitnikov D, Baumgartner WA, Cohen KB, Verspoor K, Blake JA, Hunter LE. Concept annotation in the CRAFT corpus. BMC Bioinformatics. 2012 Jul 09; 13:161.
    View in: PubMed
    Score: 0.130
  3. Callahan TJ, Baumgartner WA, Bada M, Stefanski AL, Tripodi I, White EK, Hunter LE. OWL-NETS: Transforming OWL Representations for Improved Network Inference. Pac Symp Biocomput. 2018; 23:133-144.
    View in: PubMed
    Score: 0.048
  4. Cohen KB, Lanfranchi A, Choi MJ, Bada M, Baumgartner WA, Panteleyeva N, Verspoor K, Palmer M, Hunter LE. Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles. BMC Bioinformatics. 2017 Aug 17; 18(1):372.
    View in: PubMed
    Score: 0.046
  5. Livingston KM, Bada M, Baumgartner WA, Hunter LE. KaBOB: ontology-based semantic integration of biomedical databases. BMC Bioinformatics. 2015 Apr 23; 16:126.
    View in: PubMed
    Score: 0.040
  6. Funk C, Baumgartner W, Garcia B, Roeder C, Bada M, Cohen KB, Hunter LE, Verspoor K. Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters. BMC Bioinformatics. 2014 Feb 26; 15:59.
    View in: PubMed
    Score: 0.036
  7. Verspoor K, Cohen KB, Lanfranchi A, Warner C, Johnson HL, Roeder C, Choi JD, Funk C, Malenkiy Y, Eckert M, Xue N, Baumgartner WA, Bada M, Palmer M, Hunter LE. A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. BMC Bioinformatics. 2012 Aug 17; 13:207.
    View in: PubMed
    Score: 0.033
  8. Johnson HL, Cohen KB, Baumgartner WA, Lu Z, Bada M, Kester T, Kim H, Hunter L. Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies. Pac Symp Biocomput. 2006; 28-39.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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