Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
11,800
The use of gene clusters to infer functional coupling
- Proceedings of the National Academy of Sciences, USA
, 1999
"... Earlier, we presented evidence that it is possible to predict functional cou-pling between genes based on conservation of gene clusters between genomes. With the rapid increase in availability of prokaryotic sequence data, it has be-come possible to verify and apply the technique. In this paper, we ..."
Abstract
-
Cited by 298 (12 self)
- Add to MetaCart
Earlier, we presented evidence that it is possible to predict functional cou-pling between genes based on conservation of gene clusters between genomes. With the rapid increase in availability of prokaryotic sequence data, it has be-come possible to verify and apply the technique. In this paper, we
Clustering Gene Expression Patterns
, 1999
"... Recent advances in biotechnology allow researchers to measure expression levels for thousands of genes simultaneously, across different conditions and over time. Analysis of data produced by such experiments offers potential insight into gene function and regulatory mechanisms. A key step in the ana ..."
Abstract
-
Cited by 451 (11 self)
- Add to MetaCart
in the analysis of gene expression data is the detection of groups of genes that manifest similar expression patterns. The corresponding algorithmic problem is to cluster multi-condition gene expression patterns. In this paper we describe a novel clustering algorithm that was developed for analysis of gene
Cluster analysis and display of genome-wide expression patterns’,
- Proc. Natl. Acad.
, 1998
"... ABSTRACT A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and th ..."
Abstract
-
Cited by 2895 (44 self)
- Add to MetaCart
ABSTRACT A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering
Clustering by passing messages between data points
- Science
, 2007
"... Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars ” can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initi ..."
Abstract
-
Cited by 696 (8 self)
- Add to MetaCart
. We used affinity propagation to cluster images of faces, detect genes in microarray data, identify representative sentences in this manuscript, and identify cities that are efficiently accessed by airline travel. Affinity propagation found clusters with much lower error than other methods, and it did
gene cluster
"... The rice plastid genes psaA and psaB encoding the two apoproteins ofP700 chlorophyll a protein complex of photosystem I reac-tion center, and the putative rpsl4 gene for ribosomal protein Sl4, are organized into a transcription u it. Northern blot analyses revealed that the polycistronic mRNA is tra ..."
Abstract
- Add to MetaCart
The rice plastid genes psaA and psaB encoding the two apoproteins ofP700 chlorophyll a protein complex of photosystem I reac-tion center, and the putative rpsl4 gene for ribosomal protein Sl4, are organized into a transcription u it. Northern blot analyses revealed that the polycistronic m
Computation of Median Gene Clusters
, 2009
"... Whole genome comparison based on gene order has become a popular approach in comparative genomics. An important task in this field is the detection of gene clusters, i.e., sets of genes that occur co-localized in several genomes. For most applications, it is preferable to extend this definition to a ..."
Abstract
-
Cited by 18 (8 self)
- Add to MetaCart
Whole genome comparison based on gene order has become a popular approach in comparative genomics. An important task in this field is the detection of gene clusters, i.e., sets of genes that occur co-localized in several genomes. For most applications, it is preferable to extend this definition
Knowledge-based Analysis of Microarray Gene Expression Data By Using Support Vector Machines
, 2000
"... 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 machines (SVMs). SVMs are considered a supervised computer learning method because they exploit prior knowledge of ..."
Abstract
-
Cited by 520 (8 self)
- Add to MetaCart
of gene function to identify unknown genes of similar function from expression data. SVMs avoid several problems associated with unsupervised clustering methods, such as hierarchical clustering and self-organizing maps. SVMs have many mathematical features that make them attractive for gene expression
and Transcripts of the arcRACB Gene Cluster
, 1995
"... Halobacterium halobium): genes, gene products, and transcripts of the arcRACB gene cluster. ..."
Abstract
- Add to MetaCart
Halobacterium halobium): genes, gene products, and transcripts of the arcRACB gene cluster.
Gene Cluster Involved in Melanin Biosynthesis of the
, 1992
"... of the filamentous fungus Alternaria alternata. Gene cluster involved in melanin biosynthesis ..."
Abstract
- Add to MetaCart
of the filamentous fungus Alternaria alternata. Gene cluster involved in melanin biosynthesis
Results 1 - 10
of
11,800
