GOAL: automated Gene Ontology analysis of expression profiles
نویسندگان
چکیده
منابع مشابه
GOAL: automated Gene Ontology analysis of expression profiles
One of the most common problems encountered while deciphering results from expression profiling experiments is in relating differential expression of genes to molecular functions and cellular processes. A second important problem is that of comparing experiments performed by different labs using different microarray platforms, or even unrelated techniques. Gene Ontology (GO) is now used to desc...
متن کامل[Statistical analysis of gene expression profiles].
Function divergence after gene duplication has been considered to be an important mechanism for the evolution of new functions. Although gene expression profiles have been treated as an important indicator of gene function, large scale gene expression analysis has mostly focused on current relationships among genes, instead of their evolutionary relationships. By putting expression analysis int...
متن کاملSpectral analysis of gene expression profiles using gene networks
or under-expression of individual genes, which is the cost to pay to obtain instead an interpretation in terms of more global pathways. Constraining the classifier to rely on just a few genes would have a similar effect of reducing the complexity of the problem,butwould lead to amoredifficult interpretation in terms of pathways. An advantage of our approach over other pathway-based clustering m...
متن کاملSpectral Analysis of Gene Expression Profiles Using Gene Networks
Motivation: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) and their biological significance is often difficult. Currently, the standard approach is to map a posteriori the results onto gene networks to elucidate the functions perturbed at the level of pathways. However, integr...
متن کاملSpectral analysis of gene expression profiles using gene networks
Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) and their biological significance is often difficult. Currently, the standard approach is to map a posteriori the results onto gene networks to elucidate the functions perturbed at the level of pathways. However, integrating a prio...
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: Nucleic Acids Research
سال: 2004
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkh443