Gene expression data
A Classification of Microarray Gene Expression Data Using Hybrid Soft Computing Approach
... the data [2]. One salient application of gene expression microarray data is the classification of biological samples or prophecy of clinical and other outcomes ...their gene ...
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Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
... for gene expression data, we compare the best HEAD-DT configuration ({5 x 16}) with the SVM implementation of Weka toolkit [21]—the SMO algorithm with default ...the gene expression ...
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A bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.
... and gene expression data were considered alone as well as jointly to serve as additive predictors for two pathogen-activity-phenotypes in real recombinant inbred lines of ...genetic data were ...
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Novel statistical approaches for non-normal censored immunological data: analysis of cytokine and gene expression data.
... censored gene expression data the Kaplan-Meier method should be used ...survival data at multiple detection levels by calculating the survival ...certain gene expression is ...
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Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling
... of gene expression levels are recorded simultaneously to study the functions of genes, the effects of certain therapy, illness, and developmental processes ...genome gene expression ...
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Gene Selection for Tumor Classification Using Microarray Gene Expression Data
... Many methods have been proposed in the past to reduce the dimensionality of gene expression data [3]. Several machine learning techniques have been successfully applied to cancer classification using ...
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Can survival prediction be improved by merging gene expression data sets?
... one gene in survival prediction immediately raises the question whether this gene was included in all ...the gene would not be present in the merged data set, which could explain the rather ...
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Biasogram: visualization of confounding technical bias in gene expression data.
... We obtained RMA-normalized data and clinical covariates deposited by authors from the website http://bioinformatics. mdanderson.org/Supplements/ReproRsch-Ovary/and confirmed confounding between clinical response ...
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The DIANA-mirExTra web server: from gene expression data to microRNA function.
... Figure 4. Results Page and links (Epithelial Ovarian Cancer). Genes upregulated and miRNAs downregulated in late stage Epithelial Ovarian Cancer (EOC) compared to early stage EOC were run through DIANA-mirExTra. The main ...
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Data-driven asthma endotypes defined from blood biomarker and gene expression data.
... J-PC2 (Fig. 2E) is the next metagene below B-PC1’s left branch and partitions the corre- sponding non-asthmatics mostly into Leaf 6, rendering the leaf with the smallest percentage of asthmatics (<10%). The J-PC2 ...
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HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington's Disease
... on data present in the database, the interface also enables users to map or filter networks based on their own gene list or gene expression data after ...for data integration to ...
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Aberrant gene expression in humans.
... RPKM data were available for most of the Geuvadis ...S-SSMD gene sets against random control ...S-SSMD gene sets. Briefly, for each L- or S-SSMD gene set, we tested whether the SSMD computed ...
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Metabolic constraint-based refinement of transcriptional regulatory networks.
... binarizing gene expression ...the gene expression data for estimating probabilities using ...overall expression distribution are considered to be ...low expression would ...
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Investigating ego modules and pathways in osteosarcoma by integrating the EgoNet algorithm and pathway analysis
... on gene expression data and PPI data; extracting differential expression network (DEN) from the background PPIN; identifying ego genes according to topological features of genes in ...
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Self-contained gene-set analysis of expression data: an evaluation of existing and novel methods.
... contained gene set methods for analysis of gene expression data was carried ...detect gene set ...each gene expression probe are ...original expression data ...
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Human gastroenteropancreatic expression of melatonin and its receptors MT1 and MT2.
... the gene expression data for the key enzymes involved in production of melatonin from tryptophan, as well as receptors for serotonin and melatonin were extracted in- cluding annotations depicted in ...
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Mouse genome-wide association and systems genetics identify Asxl2 as a regulator of bone mineral density and osteoclastogenesis.
... bone gene expression data from the HMDP ...Asxl2 expression revealed that while its expression was not under regulation by detectable local (described above) or distant eQTL ...
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Inference of gene regulatory networks with sparse structural equation models exploiting genetic perturbations.
... infer gene networks from gene expression ...corresponding gene pairs are conditionally dependent (respectively independent), given expression levels of all other genes ...infer ...
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StemMapper: a curated gene expression database for stem cell lineage analysis
... Transcriptomic data have become a fundamental re- source for stem cell (SC) biologists as well as for a wider research audience studying SC-related pro- cesses such as aging, embryonic development and prevalent ...
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