An efficient method to identify differentially expressed genes in microarray experiments
نویسندگان
چکیده
منابع مشابه
An efficient method to identify differentially expressed genes in microarray experiments
MOTIVATION Microarray experiments typically analyze thousands to tens of thousands of genes from small numbers of biological replicates. The fact that genes are normally expressed in functionally relevant patterns suggests that gene-expression data can be stratified and clustered into relatively homogenous groups. Cluster-wise dimensionality reduction should make it feasible to improve screenin...
متن کاملSelecting differentially expressed genes from microarray experiments.
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statistical methods to rank genes (or proteins) in regards to differential expression...
متن کاملA global approach to identify differentially expressed genes in cDNA (two-color) microarray experiments
MOTIVATION Currently most of the methods for identifying differentially expressed genes fall into the category of so called single-gene-analysis, performing hypothesis testing on a gene-by-gene basis. In a single-gene-analysis approach, estimating the variability of each gene is required to determine whether a gene is differentially expressed or not. Poor accuracy of variability estimation make...
متن کاملDetecting differentially expressed genes in longitudinal microarray experiments
In this work we propose a statistical approach for the detection of differentially expressed genes. Specifically, we envisage a longitudinal study design where multiple biological replicates are available and each individual is observed at more than one time point. We present a semi-parametric random effects model based on smoothing splines and introduce a visual-distance metric for detecting t...
متن کاملSample size for detecting differentially expressed genes in microarray experiments
Background: Microarray experiments are often performed with a small number of biological replicates, resulting in low statistical power for detecting differentially expressed genes and concomitant high false positive rates. While increasing sample size can increase statistical power and decrease error rates, with too many samples, valuable resources are not used efficiently. The issue of how ma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2008
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btn215