Response to Foulkes and De Gruttola

Statistical Applications in Genetics and Molecular Biology

Volumn 3, Issue 1, 2004, Pages

  Segal, Mark R ^a   Barbour, Jason D ^a   Grant, Robert M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ANALYTIC METHOD; BIOMETRY; CLASSIFICATION; DATA ANALYSIS; GENE INTERACTION; GENE MUTATION; GENE SEQUENCE; GENETIC ANALYSIS; HISTOGRAM; METHODOLOGY; MOLECULAR BIOLOGY; PHENOTYPE; PREDICTION; PROBABILITY; QUALITATIVE ANALYSIS; REGRESSION ANALYSIS; REVIEW; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; STATISTICS; VALIDATION PROCESS; WILD TYPE; ARTIFICIAL NEURAL NETWORK; DISCRIMINANT ANALYSIS; GENETICS; GENOTYPE; NOTE;

EID: 18544386687     PISSN: 15446115     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1062     Document Type: Review

References (3)

1. Foulkes AS, De Gruttola V. (2004). "Reader Reaction", Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 7. http://www.bepress.com/sagmb/vol3/iss1/art7
2. Jiang T, Owen AB. (2002). Quasi-regression for visualization and interpretation of black box functions. Technical Report, Statistics Department, Stanford University.
3. Smyth GK, Yang YH, Speed TP. (2003). Statistical issues in microarray data analysis. In: Functional Genomics: Methods and Protocols, M. J. Brownstein and A. B. Khodursky (eds.), Methods in Molecular Biology, 224: 111-136. Totowa, NJ: Humana Press.