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Clustering microarray gene expression data using …

https://www.ncbi.nlm.nih.gov/pubmed/16766561

Clustering microarray gene expression data using weighted Chinese restaurant process. Qin ZS (1). Author information: (1)Center for Statistical Genetics, Department of …


Clustering microarray gene expression data using …

https://academic.oup.com/bioinformatics/article/22/16/1988/207951


Clustering microarray gene expression data using …

https://www.researchgate.net/publication/7016058_Clustering_microarray_gene_expression_data_using_weighted_Chinese_restaurant_process

Synthetic and real microarray gene expression datasets were analyzed to demonstrate its performance. A computer program named Chinese restaurant cluster (CRC) …


Clustering microarray gene expression data using …

https://europepmc.org/article/MED/16766561

Other notable features including automatic handling of missing data, quantitative measures of cluster strength and assignment confidence. Synthetic and real microarray gene …


Clustering microarray gene expression data using …

https://www.academia.edu/58428687/Clustering_microarray_gene_expression_data_using_weighted_Chinese_restaurant_process

Clustering microarray gene expression data using weighted Chinese restaurant process. Bioinformatics, 2006. Zhaohui Qin. Download Download PDF. Full PDF Package Download Full …


Clustering microarray gene expression data using …

https://www.semanticscholar.org/paper/Clustering-microarray-gene-expression-data-using-Qin/e1102452e0a245a95ab2e1270f193af1c0b9ac26

An improved model-based Bayesian approach to cluster microarray gene expression data that shows that as much as 30% of significant genes clustered in the same group display complex …


Clustering microarray gene expression data using …

https://dl.acm.org/doi/abs/10.1093/bioinformatics/btl284

Motivation: Clustering microarray gene expression data is a powerful tool for elucidating co-regulatory relationships among genes. Many different clustering techniques have been …


Clustering microarray gene expression data using weighted …

https://neuro.unboundmedicine.com/medline/citation/16766561/Clustering_microarray_gene_expression_data_using_weighted_Chinese_restaurant_process_

We devised an improved model-based Bayesian approach to cluster microarray gene expression data. Cluster assignment is carried out by an iterative weighted Chinese restaurant seating …


Clustering microarray gene expression data using weighted …

https://www.growkudos.com/publications/10.1093%252Fbioinformatics%252Fbtl284/reader

This page is a summary of: Clustering microarray gene expression data using weighted Chinese restaurant process, Bioinformatics, June 2006, Oxford University Press (OUP), DOI: …


Chinese restaurant process - Wikipedia

https://en.wikipedia.org/wiki/Chinese_restaurant_process

In probability theory, the Chinese restaurant process is a discrete-time stochastic process, analogous to seating customers at tables in a restaurant. Imagine a restaurant with an infinite …


A High-Speed Two Dimensional Hierarchical Clustering of …

https://link.springer.com/chapter/10.1007/978-3-642-27443-5_62

The first step to address this challenge is the use of clustering techniques. Many clustering methods have been devised and used in the analysis of micro array data but less effort has …


Clustering microarray gene expression data using weighted …

https://www.virascience.com/archive/clustering-microarray-gene-expression-data-using-weighted-chinese-restaurant-process/

Clustering microarray gene expression data using weighted Chinese restaurant process MOTIVATION Clustering microarray gene expression data is a powerful tool for elucidating co …


Altmetric – Clustering microarray gene expression data using …

https://www.altmetric.com/details/41630551

Clustering microarray gene expression data using weighted Chinese restaurant process Published in: Bioinformatics, June 2006 DOI: 10.1093/bioinformatics/btl284: Pubmed ID: …


Clustering gene expression time series data using an infinite

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005896

Clustering microarray gene expression data using weighted Chinese restaurant process. Bioinformatics. 2006;22(16): 1988–1997. pmid:16766561 . View Article …


Clustering microarray gene expression data using weighted …

http://www.sciweavers.org/publications/clustering-microarray-gene-expression-data-using-weighted-chinese-restaurant-process

Clustering microarray gene expression data using weighted Chinese restaurant process. Sciweavers. Register; Login; Explore. ... Clustering microarray gene expression data using …


Microarray and gene-clustering analysis - PubMed

https://pubmed.ncbi.nlm.nih.gov/16110157/

Several techniques have been used for the analysis of gene-expression data including hierarchical clustering and self-organizing maps. In this chapter, a general laboratory protocol for array …


An improved algorithm for clustering gene expression data

https://pubmed.ncbi.nlm.nih.gov/17720981/

Results: The significant superiority of the proposed two-stage clustering algorithm as compared to the average linkage method, Self Organizing Map (SOM) and a recently …


CRCView: a web server for analyzing and visualizing microarray …

https://academic.oup.com/bioinformatics/article/23/14/1843/188819

CRC extends existing model-based clustering algorithms by offering the following additional features: (1) cluster genes showing non-synexpression correlation patterns (time …


Clustering techniques with Gene Expression Data - Medium

https://medium.com/leukemiaairesearch/clustering-techniques-with-gene-expression-data-4b35a04f87d5

Fig 2. Example of hierarchical clustering on gene expression data. Figure source: (5). Clustering methods can be partial or complete: complete cluster allocate each observation …


An Improved Algorithm for Clustering Gene Expression Data

https://www.researchgate.net/publication/6119305_An_Improved_Algorithm_for_Clustering_Gene_Expression_Data

Clustering is an important tool for analyzing such microarray data, typical properties of which are its inherent uncertainty, noise and imprecision. ... developed weighted …


Gene expression data analysis with the clustering method based …

https://www.sciencedirect.com/science/article/pii/S0952197611001709

Qin (2006) devised an improved model-based Bayesian approach, known as the weighted Chinese restaurant process (CRP), to cluster microarray gene expression data. …


Techniques for clustering gene expression data - ScienceDirect

https://www.sciencedirect.com/science/article/pii/S0010482507001801

The contribution of each gene to the mean of a cluster is weighted, based on its membership grade. ... At each stage of the process, gene vectors are randomly chosen and …


Clustering of High Throughput Gene Expression Data - PMC

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491664/

1 Introduction. Clustering in biology has a history that goes back to Aristotle's attempt to classify living organisms (Andreopoulos et al., 2009).Today, clustering genomic data stands out as an …


A semi-supervised hierarchical approach: two-dimensional …

https://link.springer.com/article/10.1007/s11704-013-1076-z

In this research, multi-level micro array clustering, performed in two dimensions by the proposed two-dimensional hierarchical clustering technique can be used to represent the …


CRC 1.1 – Dirichlet Process Model-based Cluster

https://mybiosoftware.com/crc-1-1-dirichlet-process-model-based-cluster.html

CRC 1.1:: DESCRIPTION. CRC (Chinese Restaurant Cluster) implements a model-based Bayesian clustering algorithm. The cluster assignment procedure can be regarded as following a …


CRCView - sparql.hegroup.org

https://sparql.hegroup.org/crcview/refs.php

Clustering microarray gene expression data using weighted Chinese restaurant process. Qin ZS. Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University …


Clustering gene expression time series data using an infinite …

https://www.semanticscholar.org/paper/Clustering-gene-expression-time-series-data-using-McDowell-Manandhar/634f94c1f0b20d3ecc53b3a3c9808278520a25e5

The first step to analyzing transcriptional response data is often to cluster genes with similar responses. Here, we present a nonparametric model-based method, Dirichlet process Gaussian …


Classification of Microarray Gene Expression Data using …

https://ieeexplore.ieee.org/document/8929385

With the emergence of DNA microarray technology, scientists are continuously studying the expression levels of a large number of genes over different instances of time points. Analyzing …


Bayesian model-based clustering of temporal gene expression …

https://europepmc.org/abstract/MED/22668790

We present a Bayesian method that considers jointly the fit of autoregressive panel data models and hierarchical gene clustering. Results The proposed methodology was able to …


Combining Pareto-optimal clusters using supervised learning for ...

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-10-27

Background The landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription …


Interpolation based consensus clustering for gene expression …

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0541-0

Here, the proposed algorithm based on B-splines interpolation [], affinity propagation [], and consensus clustering [] is described.The time-course gene expression …


CiteSeerX — Search Results — A Hybrid CI-Based Knowledge …

https://citeseerx.ist.psu.edu/search?q=A+Hybrid+CI-Based+Knowledge+Discovery+System+on+Microarray+Gene+Expression+Data.

We introduce a method of functionally classifying genes by using gene expression data from DNA microarray hybridization experiments. The method is based on the theory of support vector …


CORE

https://core.ac.uk/display/8329123

(1998). Cluster analysis and display of genome-wide expression patterns. (2003). Cluster stability scores for microarray data in cancer studies. (2006). Clustering microarray gene expression …


CORE

https://core.ac.uk/display/8687170

(1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Classification and regression by random …


A Resampling Based Clustering Algorithm for Replicated Gene …

https://dl.acm.org/doi/10.1109/TCBB.2015.2403320

In gene expression data analysis, clustering is a fruitful exploratory technique to reveal the underlying molecular mechanism by identifying groups of co-expressed genes. To reduce the …


CRC – My Biosoftware – Bioinformatics Softwares Blog

https://mybiosoftware.com/tag/crc

The cluster assignment procedure can be regarded as following a iterative Chinese restaurant process. This program is designed to cluster microarray gene expression data collected from …


CRC Analysis - BioUML platform

https://wiki.biouml.org/index.php/CRC_Analysis

Choosing a gene Removing it from its current cluster Finding the best cluster assignment for the gene Repeating steps 1 - 3 for all genes in the input table References: Z.S.Qin. (2006) …


Clustering Gene Expression Data | CommonLounge Archive

https://www.commonlounge.com/clustering-gene-expression-data-8caa3f3205b14b19a3110f453e67ed93/

Clustering Gene Expression Data. January 05, 2018. Introduction. Genes encode and can be used to synthesize proteins, and this process is known as gene expression.In higher organisms like …


Biomarkers Search

https://pubmedhh.nlm.nih.gov/biomarkers/search.php?id=20802251&mod=related&page=1&outid=&proj=

Clustering microarray gene expression data using weighted Chinese restaurant process. Qin ZS Bioinformatics; 2006 Aug; 22(16):1988-97. PubMed ID: 16766561 . 9. Bayesian finite Markov …


Robust Bayesian Clustering for Replicated Gene Expression Data

https://dlnext.acm.org/doi/abs/10.1109/TCBB.2012.85

Experimental scientific data sets, especially biology data, usually contain replicated measurements. The replicated measurements for the same object are correlated, and this …


A Fast Quad-Tree Based Two Dimensional Hierarchical Clustering

https://journals.sagepub.com/doi/full/10.4137/BBI.S10383

The DNA microarray has emerged as the latest breakthrough in molecular biology; it provides researchers with the opportunity to monitor genome-wide expression systematically. 1 The …


(PDF) Poster Session TPS | iwan irawan - Academia.edu

https://www.academia.edu/88238795/Poster_Session_TPS

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IJCSIT Journal - Assistant Professor - LinkedIn

https://in.linkedin.com/in/ijcsit-journal-25546216b

International Journal of Computer Science & Information Technology (IJCSIT) March 31, 2018. Iris is a powerful tool for reliable human identification. It has the potential to identify individuals …

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