Clustering of protein expression data: A benchmark of statistical and neural approaches

Soft Computing

Volumn 15, Issue 8, 2011, Pages 1459-1469

  Jarman, I H ^a   Etchells, T A ^a   Bacciu, D ^b   Garibaldi, J M ^c   Ellis, I O ^c   Lisboa, P J G ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF PISA   (Italy)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Breast cancer; Clustering; Neural networks; Protein expression

Indexed keywords

BIOINFORMATICS DATA; BREAST CANCER; CLUSTERING; CLUSTERING SOLUTIONS; COMPETITIVE NEURAL NETWORK; DATA REPRESENTATIONS; DATA SETS; EXPLORATORY ANALYSIS; GLOBAL STRUCTURE; INITIAL CONDITIONS; MODEL FREE; PATTERN RECOGNITION METHOD; PROTEIN EXPRESSION; PROTEIN EXPRESSIONS;

AGGLOMERATION; BIOINFORMATICS; DISEASES; NEURAL NETWORKS; PATTERN RECOGNITION; PROTEINS;

CLUSTER ANALYSIS;

EID: 79960082436     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0596-9     Document Type: Review

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