Sent Mail
نویسندگان
چکیده
منابع مشابه
SENT: semantic features in text
We present SENT (semantic features in text), a functional interpretation tool based on literature analysis. SENT uses Non-negative Matrix Factorization to identify topics in the scientific articles related to a collection of genes or their products, and use them to group and summarize these genes. In addition, the application allows users to rank and explore the articles that best relate to the...
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ژورنال
عنوان ژورنال: The Iowa Review
سال: 2014
ISSN: 0021-065X,2330-0361
DOI: 10.17077/0021-065x.7543