Results 151 to 160 of about 5,153,058 (200)
Some of the next articles are maybe not open access.
2012
With the advent of microarrays and next-generation biotechnologies, the use of gene expression data has become ubiquitous in biological research. One potential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically
Reuben, Thomas, Christopher J, Portier
openaire +2 more sources
With the advent of microarrays and next-generation biotechnologies, the use of gene expression data has become ubiquitous in biological research. One potential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically
Reuben, Thomas, Christopher J, Portier
openaire +2 more sources
Gene Expression in Atherogenesis
Thrombosis and Haemostasis, 2001SummaryIt is conceivable that the extent and spatio-temperal expression of dozens or even a few hundred genes are significantly altered during the development and progression of atherosclerosis as compared to normal circumstances. Differential gene expression in vascular cells and in blood cells, due to gene-gene and gene-environment interactions can ...
Monajemi, H. +2 more
openaire +3 more sources
EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA
Biocomputing 2003, 2002We propose a representation for gene expression data called conserved gene expression motifs or XMOTIFs. A gene's expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples ...
T M, Murali, Simon, Kasif
openaire +2 more sources
Tumor-specific gene expression patterns with gene expression profiles
Science in China Series C, 2006Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations ...
Xiaogang, Ruan +4 more
openaire +2 more sources
Predicting Gene Expression Noise from Gene Expression Variations
2018The level of gene expression is known to vary from cell to cell and even in the same cell over time. This variability provides cells with the ability to mitigate environmental stresses and genetic perturbations, and facilitates gene expression evolution.
Xiaojian, Shao, Ming-An, Sun
openaire +2 more sources
BioEssays, 2003
AbstractHidden among the myriad nucleotide variants that constitute each species' gene pool are a few variants that contribute to phenotypic variation. Many of these differences that make a difference are non‐coding cis‐regulatory variants, which, unlike coding variants, can only be identified through laborious experimental analysis.
openaire +2 more sources
AbstractHidden among the myriad nucleotide variants that constitute each species' gene pool are a few variants that contribute to phenotypic variation. Many of these differences that make a difference are non‐coding cis‐regulatory variants, which, unlike coding variants, can only be identified through laborious experimental analysis.
openaire +2 more sources
Pigment Cell Research, 2000
The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
openaire +2 more sources
The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
openaire +2 more sources
2004
There are many methodologies for performing gene expression profiling on transcripts, and through their use scientists have been generating vast amounts of experimental data. Turning the raw experimental data into meaningful biological observation requires a number of processing steps; to remove noise, to identify the "true" expression value, normalize
openaire +2 more sources
There are many methodologies for performing gene expression profiling on transcripts, and through their use scientists have been generating vast amounts of experimental data. Turning the raw experimental data into meaningful biological observation requires a number of processing steps; to remove noise, to identify the "true" expression value, normalize
openaire +2 more sources
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly