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  • Alkylating Agents  (1)
  • Biological Evolution  (1)
  • 2015-2019  (1)
  • 1990-1994  (1)
  • 1
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    Neural computing in cancer drug development: predicting mechanism of action (1992)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1992-10-16
    Description: Described here are neural networks capable of predicting a drug's mechanism of action from its pattern of activity against a panel of 60 malignant cell lines in the National Cancer Institute's drug screening program. Given six possible classes of mechanism, the network misses the correct category for only 12 out of 141 agents (8.5 percent), whereas linear discriminant analysis, a standard statistical technique, misses 20 out of 141 (14.2 percent). The success of the neural net indicates several things. (i) The cell line response patterns are rich in information about mechanism. (ii) Appropriately designed neural networks can make effective use of that information. (iii) Trained networks can be used to classify prospectively the more than 10,000 agents per year tested by the screening program. Related networks, in combination with classical statistical tools, will help in a variety of ways to move new anticancer agents through the pipeline from in vitro studies to clinical application.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Weinstein, J N -- Kohn, K W -- Grever, M R -- Viswanadhan, V N -- Rubinstein, L V -- Monks, A P -- Scudiero, D A -- Welch, L -- Koutsoukos, A D -- Chiausa, A J -- New York, N.Y. -- Science. 1992 Oct 16;258(5081):447-51.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Mathematical Biology, National Cancer Institute, Bethesda, MD 20892.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/1411538" target="_blank"〉PubMed〈/a〉
    Keywords: Alkylating Agents ; *Antineoplastic Agents/classification ; Databases, Factual ; *Drug Design ; Drug Evaluation, Preclinical ; Growth Inhibitors ; Humans ; In Vitro Techniques ; Neural Networks (Computer) ; Tumor Cells, Cultured/drug effects
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Linked canopy, climate, and faunal change in the Cenozoic of Patagonia (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-01-17
    Description: Vegetation structure is a key determinant of ecosystems and ecosystem function, but paleoecological techniques to quantify it are lacking. We present a method for reconstructing leaf area index (LAI) based on light-dependent morphology of leaf epidermal cells and phytoliths derived from them. Using this proxy, we reconstruct LAI for the Cenozoic (49 million to 11 million years ago) of middle-latitude Patagonia. Our record shows that dense forests opened up by the late Eocene; open forests and shrubland habitats then fluctuated, with a brief middle-Miocene regreening period. Furthermore, endemic herbivorous mammals show accelerated tooth crown height evolution during open, yet relatively grass-free, shrubland habitat intervals. Our Patagonian LAI record provides a high-resolution, sensitive tool with which to dissect terrestrial ecosystem response to changing Southern Ocean conditions during the Cenozoic.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dunn, Regan E -- Stromberg, Caroline A E -- Madden, Richard H -- Kohn, Matthew J -- Carlini, Alfredo A -- New York, N.Y. -- Science. 2015 Jan 16;347(6219):258-61. doi: 10.1126/science.1260947.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology and Burke Museum of Natural History and Culture, University of Washington, Seattle, WA 98195, USA. dunnr@u.washington.edu. ; Department of Biology and Burke Museum of Natural History and Culture, University of Washington, Seattle, WA 98195, USA. ; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637, USA. ; Department of Geosciences, Boise State University, Boise, ID 83725, USA. ; Paleontologia de Vertebrados, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), La Plata, Argentina.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25593182" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biological Evolution ; Cell Shape ; Cell Size ; *Climate Change ; Costa Rica ; *Ecosystem ; *Forests ; Fossils ; Grassland ; Mammals/anatomy & histology ; Plant Epidermis/cytology ; *Plant Leaves/anatomy & histology ; *Plants ; South America ; Time ; Tooth Crown/anatomy & histology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
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