Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review [PDF]
, 2011 A variety of genome-wide profiling techniques are available to probe complementary aspects of genome structure and function. Integrative analysis of heterogeneous data sources can reveal higher-level interactions that cannot be detected based on ...
Akavia +30 more
core +2 more sources
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Nucleic Acids Res., 2017 Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions.
Zefang Tang +5 more
semanticscholar +1 more source
Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences
BMC Genomics, 2008 Background Studies have shown that genetic and sex differences strongly influence gene expression in mice. Given the diversity and complexity of transcripts produced by alternative splicing, we sought to use microarrays to establish the extent of ...
Schadt Eric E +9 more
doaj +1 more source
Partition Decoupling for Multi-gene Analysis of Gene Expression Profiling Data [PDF]
, 2011 We present the extention and application of a new unsupervised statistical learning technique--the Partition Decoupling Method--to gene expression data.
Braun, Rosemary +3 more
core +5 more sources
Bacterial riboproteogenomics : the era of N-terminal proteoform existence revealed [PDF]
, 2020 With the rapid increase in the number of sequenced prokaryotic genomes, relying on automated gene annotation became a necessity. Multiple lines of evidence, however, suggest that current bacterial genome annotations may contain inconsistencies and are ...
Fijalkowska, Daria +3 more
core +2 more sources
Stochastic neural network models for gene regulatory networks [PDF]
, 2003 Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage, K., Tian, T.
core +2 more sources
Nucleic Acids Res., 2019 The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding.
Guangyan Zhou +5 more
semanticscholar +1 more source
Spatial reconstruction of single-cell gene expression
Nature Biotechnology, 2015 Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lacking.
R. Satija +4 more
semanticscholar +1 more source
GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis
Nucleic Acids Res., 2019 Introduced in 2017, the GEPIA (Gene Expression Profiling Interactive Analysis) web server has been a valuable and highly cited resource for gene expression analysis based on tumor and normal samples from the TCGA and the GTEx databases.
Zefang Tang +4 more
semanticscholar +1 more source
Digital gene expression analysis of the zebra finch genome [PDF]
, 2010 Background: In order to understand patterns of adaptation and molecular evolution it is important to quantify both variation in gene expression and nucleotide sequence divergence.
Balakrishnan, C.N. +3 more
core +4 more sources