Antibody Watch: Text mining antibody specificity from the literature.
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| Title: | Antibody Watch: Text mining antibody specificity from the literature. |
|---|---|
| Authors: | Hsu CN; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Chang CH; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; Department of Computer Science and Information Engineering, National Central University, Zhongli, Taiwan., Poopradubsil T; Department of Computer Science and Information Engineering, National Central University, Zhongli, Taiwan., Lo A; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., William KA; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Lin KW; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Bandrowski A; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; SciCrunch, Inc. San Diego, California, United States of America., Ozyurt IB; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Grethe JS; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Martone ME; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; SciCrunch, Inc. San Diego, California, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2021 May 27; Vol. 17 (5), pp. e1008967. Date of Electronic Publication: 2021 May 27 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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