Exploring relationships in gene expressions: A partial least squares approach

Gene Expression

Volumn 9, Issue 6, 2001, Pages 249-255

  Datta, S ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Gene expression data; Microarray; Partial least squares; Yeast Modeling

Indexed keywords

DNA;

ARTICLE; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENE FUNCTION; GENE INDUCTION; GENETIC ANALYSIS; GENETIC VARIABILITY; MATHEMATICAL MODEL; NONHUMAN; PREDICTION; SACCHAROMYCES CEREVISIAE; SPOROGENESIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

SACCHAROMYCES CEREVISIAE; SACCHAROMYCETALES;

EID: 0035184506     PISSN: 10522166     EISSN: None     Source Type: Journal    
DOI: 10.3727/000000001783992498     Document Type: Article

References (10)

1. Minireview: Gene expression data analysis
2. Knowledge-based analysis of microarray gene expression data by using support vector machines
3. The transcriptional program of sporulation in budding yeast
4. Exploring the metabolic and genetic control of gene expression on a genomic scale
5. Cluster analysis and display of genome-wide expression patterns
6. CLN1 and its repression by Xbp1 are important for efficient sporulation in budding yeast
7. Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal component regression
8. Analysis of gene expression data using self-organizing maps
9. Cellular gene expression altered by human cytomegalovirus: Global monitoring with oligonucleotide arrays