A comparative study of cells in inflammation, EAE and MS using biomedical literature data mining

Journal of Biomedical Science

Volumn 14, Issue 1, 2007, Pages 67-85

  Palakal, Mathew ^a   Bright, John ^b   Sebastian, Thomas ^a   Hartanto, Shielly ^a  

^a INDIANA UNIVERSITY   (United States)

^b METHODIST RESEARCH INSTITUTE   (United States)

Author keywords

Association discovery; Association graph; Biomedical literature mining; Experimental allergic encephalomyelitis (EAE); Inflammation; Multiple sclerosis (MS)

Indexed keywords

ALLERGIC ENCEPHALOMYELITIS; ARTICLE; BIOINFORMATICS; BIOMEDICINE; CELL COMPOSITION; COMPARATIVE STUDY; CYTOLOGY; DATA MINING; HUMAN; MEDICAL INFORMATION SYSTEM; MULTIPLE SCLEROSIS; NONHUMAN; PRIORITY JOURNAL;

ANIMALS; BIOMEDICAL RESEARCH; ENCEPHALOMYELITIS, AUTOIMMUNE, EXPERIMENTAL; HUMANS; INFLAMMATION; MULTIPLE SCLEROSIS; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; PUBMED;

ANIMALIA;

EID: 33847112465     PISSN: 10217770     EISSN: 14230127     Source Type: Journal    
DOI: 10.1007/s11373-006-9120-8     Document Type: Article

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