IGSA: Individual Gene Sets Analysis, including Enrichment and Clustering
نویسندگان
چکیده
منابع مشابه
IGSA: Individual Gene Sets Analysis, including Enrichment and Clustering
Analysis of gene sets has been widely applied in various high-throughput biological studies. One weakness in the traditional methods is that they neglect the heterogeneity of genes expressions in samples which may lead to the omission of some specific and important gene sets. It is also difficult for them to reflect the severities of disease and provide expression profiles of gene sets for indi...
متن کاملDual KS: Defining Gene Sets with Tissue Set Enrichment Analysis
BACKGROUND Gene set enrichment analysis (GSEA) is an analytic approach which simultaneously reduces the dimensionality of microarray data and enables ready inference of the biological meaning of observed gene expression patterns. Here we invert the GSEA process to identify class-specific gene signatures. Because our approach uses the Kolmogorov-Smirnov approach both to define class specific sig...
متن کاملmodPhEA: model organism Phenotype Enrichment Analysis of eukaryotic gene sets
Motivation Genome-scale phenotypic data are available for many model organisms, yet existing tools to functionally interpret gene sets from these phenotypic data are largely based on mutagenesis-derived phenotypes observed in mouse or human. Results Data from both mutagenesis and knockdown experiments are incorporated into modPhEA to allow users to perform enrichment analyses based on phenoty...
متن کاملPositional gene enrichment analysis of gene sets for high-resolution identification of overrepresented chromosomal regions
The search for feature enrichment is a widely used method to characterize a set of genes. While several tools have been designed for nominal features such as Gene Ontology annotations or KEGG Pathways, very little has been proposed to tackle numerical features such as the chromosomal positions of genes. For instance, microarray studies typically generate gene lists that are differentially expre...
متن کاملIntegrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer
BACKGROUND Microarray technology has been previously used to identify genes that are differentially expressed between tumour and normal samples in a single study, as well as in syntheses involving multiple studies. When integrating results from several Affymetrix microarray datasets, previous studies summarized probeset-level data, which may potentially lead to a loss of information available a...
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: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0164542