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Keyword: Gene Expression
Computational Techniques to Recover Missing Gene Expression Data
Almost every cells in human’s body contain the same number of genes so what makes them different is which genes are expressed at any time. Measuring gene expression can be done by measuring the amount of mRNA molecules. However, it is a very expensive and time consuming task. Using computational methods can help biologists to…
Read More GC4miRNA - a Pipeline for Examining Impact of GC Content in miRNA Seed Sequences on Expression in Tumor Samples
MicroRNAs (miRNAs) are small RNA molecules that play a crucial role in regulating gene expression by binding to and degrading targeted mRNAs. miRNAs targeting a specific mRNA have a region known as the “seed sequence”, which typically has a high affinity for its complementary sequence in the targeted mRNA. Single Nucleotide Polymorphisms (SNPs) are mutations…
Read More Identification of Genetic Variants for Prioritized miRNA-targeted Genes Associated with Complex Traits
Genome-wide association studies, or GWAS, have reported associations between SNPs and specific diseases/traits. GWAS results contain variants located in different genomic regions, including variants in the 3’UTR. MicroRNAs, or miRNAs, are small noncoding RNAs that bind to the 3’UTRs of genes to regulate gene expression. However, variant(s) that are located in the 3’UTR could impact…
Read More Gene Selection for Cancer Classification: A New Hybrid Filter-C5.0 Approach for Breast Cancer Risk Prediction
Despite the significant progress made in data mining technologies in recent years, breast cancer risk prediction and diagnosis at an early stage using DNA microarray technology still a real challenging task. This challenge comes especially from the high-dimensionality in gene expression data, i.e., an enormous number of genes versus a few tens of subjects (samples).…
Read More Cancer Mediating Genes Recognition using Multilayer Perceptron Model- An Application on Human Leukemia
In the present article, we develop multilayer perceptron model for identification of some possible genes mediating different leukemia. The procedure involves grouping of gene based correlation coefficient and finally select of some possible genes. The procedure has been successfully applied three human leukemia gene expression data sets. The superiority of the procedure has been demonstrated…
Read More Discovering Interesting Biological Patterns in the Context of Human Protein-Protein Interaction Network and Gene Disease Profile Data
The current advances in proteomic and transcriptomic technologies produced huge amounts of high-throughput data that spans multiple biological processes and characteristics in different organisms. One of the important directions in today’s bioinformatics research is to discover patterns of genes that have interesting properties. These groups of genes can be referred to as functional modules. Detecting…
Read More Efficacy of multiple anticancer therapies may depend on host immune response
The host immune system is a key player in anticancer therapy response and resistance. Although the impact of host immune response in the ‘war against cancer’ has been studied and it has been the basis for immunotherapy, understanding of its role in attenuating the action of conventional anticancer therapies is an area that has not…
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