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Results 11 - 20
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CA: Yeast genes controlling responses to topogenic signals in a model transmembrane protein
- Mol Biol Cell
"... Yeast genes controlling responses to topogenic signals in a model transmembrane protein ..."
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Cited by 7 (0 self)
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Yeast genes controlling responses to topogenic signals in a model transmembrane protein
Early Expression of Yeast Genes Affected by Chemical Stress†
, 2004
"... The variety of environmental stresses is probably the major challenge imposed on transcription activators and the transcriptional machinery. To precisely describe the very early genomic response developed by yeast to accommodate a chemical stress, we performed time course analyses of the modificatio ..."
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of the modifications of the yeast gene expression program which immediately follows the addition of the antimitotic drug benomyl. Similar analyses were conducted with different isogenic yeast strains in which genes coding for relevant transcription factors were deleted and coupled with efficient bioinformatics tools
Systematic Management and Analysis of Yeast Gene Expression Data
, 2000
"... roarrays, Serial Analysis of Gene Expression (SAGE), and other techniques (Velculescu et al. 1995; Lockhart et al. 1996; DeRisi et al. 1997), has led to the rapid accumulation of large expression data sets and the development of the field of functional genomics. Functional genomics has been contrast ..."
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Cited by 39 (4 self)
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roarrays, Serial Analysis of Gene Expression (SAGE), and other techniques (Velculescu et al. 1995; Lockhart et al. 1996; DeRisi et al. 1997), has led to the rapid accumulation of large expression data sets and the development of the field of functional genomics. Functional genomics has been
Discovering Statistically Significant Biclusters in Gene Expression Data
- In Proceedings of ISMB 2002
, 2002
"... In gene expression data, a bicluster is a subset of the genes exhibiting consistent patterns over a subset of the conditions. We propose a new method to detect significant biclusters in large expression datasets. Our approach is graph theoretic coupled with statistical modelling of the data. Under p ..."
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Cited by 302 (4 self)
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plausible assumptions, our algorithm is polynomial and is guaranteed to find the most significant biclusters. We tested our method on a collection of yeast expression profiles and on a human cancer dataset. Cross validation results show high specificity in assigning function to genes based
Exploring the Conditional Coregulation of Yeast Gene Expression Through Fuzzy K-Means Clustering
, 2002
"... Background: Organisms simplify the orchestration of gene expression by coregulating genes whose products function together in the cell. Many proteins serve different roles depending on the demands of the organism, and therefore the corresponding genes are often coexpressed with different groups o ..."
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Cited by 137 (0 self)
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Background: Organisms simplify the orchestration of gene expression by coregulating genes whose products function together in the cell. Many proteins serve different roles depending on the demands of the organism, and therefore the corresponding genes are often coexpressed with different groups
P-tree Classification of Yeast Gene Deletion Data
, 2002
"... Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null values led us to a P-tree-based bit-vector representation in which matching 1-values were counted to evaluate similarity betw ..."
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Cited by 10 (4 self)
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between genes. Quantitative information such as the number of interactions was also included in the classifier. Interaction information allowed us to extend the known properties of one protein with information on its interacting neighbors. Different feature attributes were weighted independently
The fission yeast genes pypl + and pyp2 + encode protein tyrosine phosphatases that negatively regulate mitosis
, 1992
"... The fission yeast genes pyp1+ and pyp2+ encode protein tyrosine phosphatases that negatively regulate mitosis. ..."
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Cited by 1 (0 self)
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The fission yeast genes pyp1+ and pyp2+ encode protein tyrosine phosphatases that negatively regulate mitosis.
Semi-Supervised Clustering of Yeast Gene Expression Data
, 2006
"... To identify modules of interacting molecules often gene expression is analyzed with clustering methods. Constrained or semi-supervised clustering provides a framework to augment the primary, gene expression data with secondary data, to arrive at biological meaningful clusters. Here, we present an a ..."
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Cited by 2 (1 self)
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an approach using constrained clustering and present favorable results on a biological data set of gene expression time-courses in Yeast together with predicted transcription factor binding site information.
Factors affecting splicing strength of yeast genes,”Comparative
- and Functional Genomics
"... Accurate and efficient splicing is of crucial importance for highly-transcribed intron-containing genes (ICGs) in rapidly replicating unicellular eukaryotes such as the budding yeast Saccharomyces cerevisiae. We characterize the 5 and 3 splice sites (ss) by position weight matrix scores (PWMSs), wh ..."
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Cited by 3 (2 self)
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Accurate and efficient splicing is of crucial importance for highly-transcribed intron-containing genes (ICGs) in rapidly replicating unicellular eukaryotes such as the budding yeast Saccharomyces cerevisiae. We characterize the 5 and 3 splice sites (ss) by position weight matrix scores (PWMSs
Results 11 - 20
of
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