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31
The advantage of functional prediction based on clustering of yeast genes and its correlation with non-sequence based classification
- Journal of Computational Biology
, 2002
"... Sequence similarity is probably the most widely used tool to infer functional linkage between proteins. The fully sequenced, much researched, genome of Saccharomyces cerevisiae gives us on opportunity to compare and statistically quantify computational methods based on sequence similarity, which aim ..."
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Cited by 12 (1 self)
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of data and that based solely on sequence similarity. In this work we start with a simple clustering algorithm to cluster genes based on the BLAST E-score of their similarity. We analyze how well one can infer function from these clusters and for how many of the genes that are currently unknown one can
Exploratory Clustering Of Gene Expression Profiles Of Mutated Yeast Strains
, 2002
"... Yeast gene expression pro les are analyzed with self-organizing map (SOM)-based exploratory clustering and information visualization methods. Each pro le describes the expression of the other yeast genes after one gene has been removed or its function has been blocked. Information about the relation ..."
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Cited by 2 (2 self)
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Yeast gene expression pro les are analyzed with self-organizing map (SOM)-based exploratory clustering and information visualization methods. Each pro le describes the expression of the other yeast genes after one gene has been removed or its function has been blocked. Information about
Context-dependent Clustering for Dynamic Cellular State Modeling of Microarray Gene Expression
"... Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that may participate in a common structural complex, metabolic pathway, or biological process. Many clustering, classification a ..."
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for investigating gene co-expression patterns. We assume the correlation between functionally related genes can be strengthened or weakened according to changes in some relevant, yet unknown, cellular states. We develop a context-dependent clustering (CDC) method to model the cellular state variable. We apply
Genome-wide analysis of core cell cycle genes in Arabidopsis. Plant Cell 14: 903–916
, 2002
"... Cyclin-dependent kinases and cyclins regulate with the help of different interacting proteins the progression through the eukaryotic cell cycle. A high-quality, homology-based annotation protocol was applied to determine the core cell cycle genes in the recently completed Arabidopsis genome sequenc ..."
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Cited by 45 (4 self)
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, in which biological information is attributed to the gene or its elements. Unfortunately, there are some problems inherent to both. When structural annotation is performed, the first problem occurs when no cDNA or expressed sequence tag (EST) information is available, which is the case for 60% of all
Finding groups in gene expression data
- J Biomed Biotechnol
"... The vast potential of the genomic insight offered by microarray technologies has led to their widespread use since they were introduced a decade ago. Application areas include gene function discovery, disease diagnosis, and inferring regulatory networks. Microarray experiments enable large-scale, h ..."
Abstract
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Cited by 10 (0 self)
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of synthesis of proteins encoded by a gene or perhaps its involvement in a metabolic pathway. Differential expression between a control organism and an experimental or diseased organism can thus highlight genes whose function is related to the experimental challenge. An often cited example
Cultural Biases in Economic Exchange",
, 2004
"... Abstract How much do cultural biases affect economic exchange? We try to answer this question by using the relative trust European citizens have for citizens of other countries. First, we document that this trust is affected not only by objective characteristics of the country being trusted, but al ..."
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Cited by 57 (4 self)
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variable we use the genetic distance between indigenous population as developed by Cavalli-Sforza et. al.(1996). 9 This measure is based on the existence of genetic or DNA polymorphism (a situation in which a gene or a DNA sequence exist in at least two different forms (alleles)). A simple example
Gene-environment interaction and the genetics of depression
- J Psychiatry Neurosci
, 2004
"... Depression is a group of brain disorders with varied origins, complex genetics and obscure neurobiology. Definitions of clinical phenotypes are not rooted in their neurobiology, and animal models of behavioural despair have considerable limitations. Nevertheless, investigation of subtle alterations ..."
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Cited by 4 (0 self)
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alterations in gene expression, of correlations between genotype and brain activity, and of environmental variables interacting with genetic variants have advanced research into the genetics of depression. Although the postgenomic era is still in its infancy, several milestones have already been reached
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
Results 1 - 10
of
31