Informatics and hypothesis-driven research

EMBO Reports

Volumn 3, Issue 8, 2002, Pages 702-

  Smalheiser, Neil R ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; DATA ANALYSIS; DATA BASE; EXPERIMENTAL DESIGN; GENOMICS; HYPOTHESIS; IMAGING; INTERNET; LETTER; MEDICAL INFORMATICS; MEDICAL RESEARCH; PRIORITY JOURNAL; PROTEOMICS; BIOLOGY; COMPUTER; METHODOLOGY; RESEARCH; STATISTICS;

COMPUTATIONAL BIOLOGY; COMPUTERS; DATABASES; RESEARCH; STATISTICS;

EID: 0036687199     PISSN: 1469221X     EISSN: None     Source Type: Journal    
DOI: 10.1093/embo-reports/kvf164     Document Type: Letter

References (5)

1. In silico veritas. Data-mining and automated discovery: The truth is in there
2. Should the neuroscience community make a paradigm shift to sharing primary data
3. Using Arrowsmith: A computer-assisted approach to formulating and assessing scientific hypotheses
4. An interactive system for finding complementary literatures: A stimulus to scientific discovery
5. Search and retrieve. Large-scale data generation is becoming increasingly important in biological research. But how good are the tools to make sense of the data rep