Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.
Journal:
BMC medical genomics
Published Date:
Feb 7, 2015
Abstract
BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular profiling. The aims of this study were to develop a new gene selection method based on a fuzzy logic selection and classification algorithm, and to validate the gene signatures obtained on breast cancer patient cohorts.
Authors
Keywords
Algorithms
Breast Neoplasms
Cohort Studies
Computational Biology
Databases, Genetic
Decision Making
Female
Fuzzy Logic
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Neoplasm Invasiveness
Neoplasm Recurrence, Local
Oligonucleotide Array Sequence Analysis
Precision Medicine
Prognosis
Reproducibility of Results
Sensitivity and Specificity