Clustering based on expression profiles
Isoform level expression profiles provide better cancer signatures than gene level expression profiles
... Hierarchical clustering, based on isoform level expressions, effectively grouped the non-oncogenic and oncogenic cell lines with a virtually perfect homogeneity-grouping rate ...best based on the ...
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Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles
... gene expression experiment data for one ...gene expression profiles, all the above clus- tering algorithms that group data based on all dimensions become extremely difficult to im- ...the ...
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A Computational Approach to the Functional Clustering of Periodic Gene-Expression Profiles
... for clustering periodic patterns of gene expression in terms of different transcriptional ...periodic expression into a mixture-model-based likelihood function, thus producing results that are ...
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TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions
... 4. Discussion andfuture developments This paper presents a new technique for cluster- ing of gene expression time series data. The algo- rithm can be considered as a template-based strat- egy, in which the ...
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Two Novel Methods for Clustering Short Time-Course Gene Expression Profiles
... gene expression profiles present unique clustering chal- lenges due to large amount of genes in the microarray dataset versus small numbers of time points in each gene ...novel clustering ...
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Gene Expression Data Clustering and Visualization based on a Binary Hierarchical Clustering Framework
... gene expression data can reveal many meaningful biological processes, for example, gene response to drug treatments, cancer diagnosis, ...gene expression data analysis, the data are arranged in a matrix ...
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Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects
... the k-means procedure, which is smaller than the two methods that are based on the EMMIX-WIRE model. Using the k-means procedure, the error rate and adjusted Rand index are 0.404 and 0.442, respectively, for the ...
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A temporal precedence based clustering method for gene expression microarray data
... for clustering of temporal microarray data based on the notion of temporal inter- action between the ...gene profiles with respect to time and helps in understanding the underlying causal processes ...
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Using Linear Programming based Exploratory Techniques in Gene Expression Consensus Clustering.
... pression profiles of four well established types of central nervous system tumors as well as gene expression profiles of normal cerebella ...consensus clustering to have five ...(each ...
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Adding Confidence to Gene Expression Clustering
... hierarchical clustering, and it is this property that a notion of dissimilarity via the uncentered correlation aids interpretation of the ...archical clustering require two important and sensitive The ...
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Unsupervised Clustering Analysis of Gene Expression
... The demonstration dataset is a SAGE dataset. SAGE is one of the effective techniques for comprehensive gene expression profiling. The result of a SAGE experiment, called a SAGE library, is a list of counts of ...
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Techniques for clustering gene expression data
... GE profiles (each graph node represents a ...[38], based on geometric characteristics of the data (specifically, cluster separation in the minimum spanning tree of the cluster ...
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Tumor classification based on gene expression profiles
... gene expression data usually provides a huge amount of features (genes) compared to a very low number of ...gene expression levels, different sets of predictive features have been presented in the literature ...
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Profiles of children's arithmetic fact development: A model-based clustering approach
... It is possible that our focus on a restricted developmental period, i.e. third to fifth grade, might account for the absence of significant differences between profiles with respect to working memory, because ...
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Clustering based Approach to Multiword Expression Extraction and Ranking
... domain-independent clustering- based approach for automatic extraction of multiword expressions ...MWE based on the closest exemplar assigned to a ...
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Automatic Negotiation with Profiles and Clustering of Agents
... Keywords: Agents; Automated Negotiation; Strategy; Negotiation Profiles; Classification; Q-Learning 1. Introduction Negotiation between agents appears in different area of research, like electronic commerce, ...
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Investigation of candidate genes for osteoarthritis based on gene expression profiles
... gene expression pro fi les is now providing new opportunities to uncover potential disease-related genes of SM associated with progression of ...gene expression pro fi les of SM samples from early-stage and ...
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A graph-based representation of Gene Expression profiles in DNA microarrays
... gene expression characteristics that can be used to understand the meaningfulness of a gene and its correlation with the informative genes describing a given ...the expression of the genes corresponding to ...
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Insights in to the pathogenesis of axial spondyloarthropathy based on gene expression profiles
... Gene expression microarray may elucidate patho- genesis, facilitate diagnostic specificity, correlate with pharmacologic responsiveness, and predict ...We based this study in an ophthalmology clinic to test ...
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A Relational Based Fuzzy Clustering To Mine User Profiles for Web Directory Personalization
... new clustering based approach is used, The proposed algorithm finds the meaningful behavior patterns extracted by applying efficient clustering algorithm, to log ...
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