Gene Expression Data
A Survey on Data Mining Of Gene Expression Data for Gene Function Prediction
... the gene expression data for predicting the gene functioning for the possibility of cancerous behavior and utilizing the same in prompt and precise ...the gene expression ...
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Challenges Analyzing RNA Seq Gene Expression Data
... quencing) data is very ...count data to a continuous variable or continue to work with count ...each data type, analysis tools have been developed and seem appropriate at first sight, but a deeper ...
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Computational Techniques to Recover Missing Gene Expression Data
... Measuring gene expression can be done by measuring the amount of mRNA ...perform gene expression measurements more efficiently by providing prediction techniques based on partial ...a ...
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Cluster Rasch models for microarray gene expression data
... its expression profile over many ...similar expression patterns in microarray hybridization experiments ...similar expression profiles, maybe involved in related functions or regulated by common ...
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On the selection of appropriate distances for gene expression data clustering
... short gene time-series, namely, Jack- knife (JK), Short Time-Series Dissimilarity (STS), Local Shape-based Similarity (LSS), YS1, and ...of gene expression data [4,11,30,44,45], ...
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Gene Expression Data Analysis for Stomach Cancer
... Gene expression data from public repositories (GEO and ArrayExpress) was compiled to apply a meta-analysis algorithm to compare expression of the genes across studies, identify differentially ...
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Consensus clustering and functional interpretation of gene expression data
... ASC data was determined by the number of repeated genes, whereas 40 clusters for the B- cell data was based on previous exploratory data analysis ...of gene-expression data ...
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Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data
... cell gene expres- sion assays (single cell qPCR and ...generate gene expression distributions which can be used to estimate the kinetic parameters of gene expression bursting, namely ...
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Detecting microRNA activity from gene expression data
... mRNA gene expression levels [14]. As with our approach, they used gene expression data and publicly available miRNA target prediction ...from gene expression data, ...
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GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
... of Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on microarray data, clustering of ...
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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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Classification of Cancer Gene Subtypes from Clustering of Gene Expression Data
... microarray gene expression data obscure imperative information which is necessary for the understanding of molecular biology processes that occurs in a specific organism with respect to its ...
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Application of simulated annealing to the biclustering of gene expression data
... Using SAB, we have shown that stochastic methods have the potential to give improved results for the bicluster search problem. SAB discovers more significant biclusters than Cheng and Church’s original node deletion ...
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Computational Techniques To Recover Missing Data From Gene Expression Data
... Microarray gene expression data generally suffers from missing value problem due to a variety of experimental ...missing data points can adversely affect downstream analysis, many algorithms ...
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Effective gene selection techniques for classification of gene expression data
... the gene expression profiles provided by the microarray ...the expression of all genes in an organism can be studied simultaneously in a microarray experiment, microarray experiment is creating a ...
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Vector Quantization of Microarray Gene Expression Data
... The data mining methods are used to find human-interpretable patterns that describe the data, for example, clustering, associations and ...of gene expression data lies in the fact that ...
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Data Dependencies in the Quantitation of Affymetrix Gene Expression Data
... Affymetrix gene expression data is often made on the class of data rather than the data ...Affymetrix gene expression data can be highly variable, it is common ...
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Efficient Clustering for Gene Expression Data
... the gene expression ...to gene expression ...recognized gene expression data sets and compared their results with those acquired by other ...
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Microarray data analysis: From hypotheses to conclusions using gene expression data
... a gene-by-gene analysis are: increase of power, because one simply has more data for each group than for each gene and multiple testing corrections (to be discussed in the next section) are, ...
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Managing and querying gene expression data using Curray
... toward expression data manage- ment and analysis can be ...new data management system with a declarative query language for data ...based data analysis such as ...microarray data ...
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