Differential Expression Analysis for Pathways
نویسندگان
چکیده
منابع مشابه
Differential Expression Analysis for Pathways
Life science technologies generate a deluge of data that hold the keys to unlocking the secrets of important biological functions and disease mechanisms. We present DEAP, Differential Expression Analysis for Pathways, which capitalizes on information about biological pathways to identify important regulatory patterns from differential expression data. DEAP makes significant improvements over ex...
متن کاملIndividual-level analysis of differential expression of genes and pathways for personalized medicine
MOTIVATION The differential expression analysis focusing on inter-group comparison can capture only differentially expressed genes (DE genes) at the population level, which may mask the heterogeneity of differential expression in individuals. Thus, to provide patient-specific information for personalized medicine, it is necessary to conduct differential expression analysis at the individual lev...
متن کاملRNAseq Differential Expression Analysis
Dataset taken from Somel et al. 2012: (check publication for details) • 3 human + 3 chimp brain transcriptome data • Illumina RNA-Seq, paired-end 76bp • Reads mapped to human and chimp genome and reads counted for each transcript Download the following data files into a directory of your choice (e.g. data): • Human: http://www.nowick-lab.info/wp-content/uploads/2013/12/segemehl.hg19.readCount.t...
متن کاملOutlier sums for differential gene expression analysis.
We propose a method for detecting genes that, in a disease group, exhibit unusually high gene expression in some but not all samples. This can be particularly useful in cancer studies, where mutations that can amplify or turn off gene expression often occur in only a minority of samples. In real and simulated examples, the new method often exhibits lower false discovery rates than simple t-stat...
متن کاملDifferential Expression Analysis for RNA-Seq Data
RNA-Seq is increasingly being used for gene expression profiling. In this approach, next-generation sequencing (NGS) platforms are used for sequencing. Due to highly parallel nature, millions of reads are generated in a short time and at low cost. Therefore analysis of the data is a major challenge and development of statistical and computational methods is essential for drawing meaningful conc...
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 Computational Biology
سال: 2013
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002967