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Automated Hypothesis Generation Based on Mining Scientific Literature

, , , , , , , , , , , , , , , , , , and . Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1877--1886. New York, NY, USA, ACM, (2014)
DOI: 10.1145/2623330.2623667

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Computing Therapy for Precision Medicine: Collaborative Filtering Integrates and Predicts Multi-entity Interactions., , and . PSB, page 21-32. (2016)Automated Hypothesis Generation Based on Mining Scientific Literature, , , , , , , , , and 9 other author(s). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1877--1886. New York, NY, USA, ACM, (2014)Automated hypothesis generation based on mining scientific literature., , , , , , , , , and 9 other author(s). KDD, page 1877-1886. ACM, (2014)Multimodal network diffusion predicts future disease-gene-chemical associations., , , , , , , and . Bioinform., 35 (9): 1536-1543 (2019)Human Kinases Display Mutational Hotspots at Cognate Positions Within Cancer., , and . PSB, page 414-425. (2017)Discovery of Functional and Disease Pathways by Community Detection in Protein-Protein Interaction Networks., , , , and . PSB, page 336-347. (2017)Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature., , , , , , , , , and 13 other author(s). KDD, page 2019-2028. ACM, (2015)Accounting for epistatic interactions improves the functional analysis of protein structures., , , , , , and . Bioinform., 29 (21): 2714-2721 (2013)