Automated hypothesis generation based on mining scientific literature

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 1877-1886

  Spangler, Scott ^a   Wilkins, Angela D ^c   Bachman, Benjamin J ^c   Nagarajan, Meena ^a   Dayaram, Tajhal ^c   Haas, Peter ^a   Regenbogen, Sam ^c   Pickering, Curtis R ^b   Comer, Austin ^b   Myers, Jeffrey N ^b   Stanoi, Ioana ^a   Kato, Linda ^a   Lelescu, Ana ^a   Labrie, Jacques J ^a   Parikh, Neha ^c   Lisewski, Andreas Martin ^c   Donehower, Lawrence ^c   Chen, Ying ^a   Lichtarge, Olivier ^c  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^c BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

hypothesis generation; scientific discovery; text mining

Indexed keywords

EID: 84907033471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623667     Document Type: Conference Paper

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