[PDF] Top 20 Microarray time-series data clustering via gene expression profile alignment
Has 10000 "Microarray time-series data clustering via gene expression profile alignment" found on our website. Below are the top 20 most common "Microarray time-series data clustering via gene expression profile alignment".
Microarray time-series data clustering via gene expression profile alignment
... This online database contains the full-text of PhD dissertations and Masters’ theses of University of Windsor students from 1954 forward. These documents are made available for personal study and research purposes only, ... See full document
92
An Effective Validation Methodology of Proximity Measures for Clustering Gene Expression Microarray Data
... DNA microarray technology has now made it possible to concurrently monitor the expression levels of thousands of genes during important biological processes and across collections of related ...in ... See full document
9
A temporal precedence based clustering method for gene expression microarray data
... the Gene Ontology (GO) database ...the gene ontology (GO) inter- face provided at the Arabidopsis repository at TAIR ...a gene performing the mentioned biological ...another gene annotation ... See full document
26
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
... Hierarchical Clustering (BHC) algorithm [13] is a fast approximate inference method for a Dirich- let process mixture model, which performs agglomera- tive hierarchical clustering in a Bayesian ...gle ... See full document
13
An integrated semi supervised clustering model for time course gene expression data
... Recently gene set analysis (TCGSA) has been proposed to cluster the predefined groups of genes in the analysis of gene expression data in cross-sectional studies ...of gene set analysis ... See full document
7
Clustering of Mixed Data Types with Application to Toxicogenomics
... of gene expression to lesions elicited by ...(2001), microarray analysis was used to associate gene expression with cisplatin-mediated toxicity in male Sprague-Dawley rat kidney ...The ... See full document
233
Cluster Rasch models for microarray gene expression data
... assess gene expression profiles in a set of 60 human cancer cell lines that have been characterized pharmacologically by treatment with more than 70,000 different drug agents, one at time and ...in ... See full document
13
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
... each gene in an ...of gene expression (for exam- ple using Affymetrix GeneChip ...quiet gene would be one whose expression level is indistinguishable from ...the expression ... See full document
13
The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis
... the data points to be clustered locate is un- ...between data points (genes or samples) are probed by a series of responses (gene expres- ...response series be- tween data points ... See full document
11
Fuzzy clustering of time series gene expression data with cubic spline
... in time series expres- sion experiments, a temporal process is ...of data is that while static data from a sample population are assumed to be independent identically distributed, while ... See full document
6
A robust Bayesian two sample test for detecting intervals of differential gene expression in microarray time series
... for time series (Bar-Joseph et ...for microarray time series have been ...treat time as a cofactor, for instance within an ANOVA model (Angelini et ...the time ... See full document
15
Genome-wide investigation and expression analysis of Sodium/Calcium exchanger gene family in rice and Arabidopsis
... the expression profile obtained via analysis of microarray-based expression data, we have carried out expression analysis using quantitative real-time reverse ... See full document
16
Improved robustness in time series analysis of gene expression data by polynomial model based clustering
... quality microarray data, such data is often burdened with a considerable amount of ...the data preprocessing ...the data often can not be retrieved properly so that the dataset contains ... See full document
11
Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting
... the time series col- lected at nonuniform time points has been presented in [10], where the sum-of-exponentials model was used for getting estimates of the gains and time constants, and then a ... See full document
15
An Adaptive Clustering Algorithm for Gene Expression Time-Series Data Analysis
... in gene trends across ...the gene-expression values but discretized values (D, N, U element in a data matrix are replaced by a U if the difference between its expression value and the ... See full document
91
BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data
... robustness. Clustering techniques have been extensively applied to both dimen- sions of expression matrices separately, focusing on either gene or sample expression ...local expression ... See full document
11
Clinical review: Sepsis and septic shock the potential of gene arrays
... applied microarray technology and related bioinformatic approaches to clinical sepsis and septic shock, thus allowing for an assessment of how, or if, this branch of genomic medicine has meaningfully impacted the ... See full document
8
Time series clustering in large data sets
... We are using a simplistic signal processing method dividing the signal into n parts calculating a standard deviation for each part, which results into the n-dimensional feature vector for each record- ing. These feature ... See full document
6
Screening of feature genes of the ovarian cancer epithelia with DNA microarray
... in gene expression, either through mutation, epigenetic regulation, or differential splicing events, influence tumor develop- ment, progression, drug responsiveness and ultimately the survival of the ... See full document
8
Systematic expression analysis of the mitochondrial complex III subunits identifies UQCRC1 as biomarker in clear cell renal cell carcinoma
... decreased expression level of the complex III in RCC [6, 27] leading to decreased activity of the electron transport chain ...published microarray studies revealed that only two members, UQCRC1 and UQCRFS1, ... See full document
10
Related subjects