Quantitative analysis of wine yeast gene expression profiles under winemaking conditions

Yeast ◽  
2005 ◽  
Vol 22 (5) ◽  
pp. 369-383 ◽  
Author(s):  
Cristian Varela ◽  
Javier Cárdenas ◽  
Francisco Melo ◽  
Eduardo Agosin
Keyword(s):  
Gene Expression ◽  
Quantitative Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Wine Yeast ◽  
Yeast Gene

AN IMPROVED BICLUSTERING METHOD FOR ANALYZING GENE EXPRESSION PROFILES

2005 ◽  
Vol 14 (05) ◽  
pp. 771-789 ◽  
Author(s):  
JIONG YANG ◽  
HAIXUN WANG ◽  
WEI WANG ◽  
PHILIP S. YU
Keyword(s):  
Gene Expression ◽  
Heuristic Algorithms ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Expression Data ◽  
Yeast Gene ◽  
Huge Amount ◽  
Probabilistic Algorithm ◽  
Null Values

Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a powerful tool by which the expression patterns of thousands of genes can be monitored simultaneously and are already producing huge amount of valuable data. The concept of bicluster was introduced by Cheng and Church1 to capture the coherence of a subset of genes and a subset of conditions. A set of heuristic algorithms were also designed to either find one bicluster or a set of biclusters, which consist of iterations of masking null values and discovered biclusters, coarse and fine node deletion, node addition, and the inclusion of inverted data. These heuristics inevitably suffer from some serious drawback. The masking of null values and discovered biclusters with random numbers may result in the phenomenon of random interference which in turn impacts the discovery of high quality biclusters. To address this issue and to further accelerate the biclustering process, we generalize the model of bicluster to incorporate null values and propose a probabilistic algorithm (FLOC) that can discover a set of k possibly overlapping biclusters simultaneously. Furthermore, this algorithm can easily be extended to support additional features that suit different requirements at virtually little cost. Experimental study on the yeast gene expression data2 shows that the FLOC algorithm can offer substantial improvements over the previously proposed algorithm.

scholarly journals Global Gene Expression Analysis of Yeast Cells during Sake Brewing

2006 ◽  
Vol 72 (11) ◽  
pp. 7353-7358 ◽  
Author(s):  
Hong Wu ◽  
Xiaohong Zheng ◽  
Yoshio Araki ◽  
Hiroshi Sahara ◽  
Hiroshi Takagi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Global Gene Expression ◽  
Yeast Cells ◽  
Yeast Gene ◽  
High Concentration ◽  
Brewing Process ◽  
Global Gene Expression Analysis

ABSTRACT During the brewing of Japanese sake, Saccharomyces cerevisiae cells produce a high concentration of ethanol compared with other ethanol fermentation methods. We analyzed the gene expression profiles of yeast cells during sake brewing using DNA microarray analysis. This analysis revealed some characteristics of yeast gene expression during sake brewing and provided a scaffold for a molecular level understanding of the sake brewing process.

Abstract: 1077 QUANTITATIVE ANALYSIS OF CAROTID PLAQUE DENSITY IN RELATION TO GENE EXPRESSION PROFILES

2009 ◽  
Vol 10 (2) ◽  
pp. e289
Author(s):  
K Lund ◽  
A Razuvaev ◽  
J Roy ◽  
G Paulsson-Berne ◽  
U Hedin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Quantitative Analysis ◽  
Carotid Plaque ◽  
Expression Profiles ◽  
Gene Expression Profiles

scholarly journals Super-paramagnetic clustering of yeast gene expression profiles

2000 ◽  
Vol 279 (1-4) ◽  
pp. 457-464 ◽  
Author(s):  
G. Getz ◽  
E. Levine ◽  
E. Domany ◽  
M.Q. Zhang
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Yeast Gene

1327: Gene Expression Profiles in Benign Prostatic Hyperplasia

2004 ◽  
Vol 171 (4S) ◽  
pp. 349-350
Author(s):  
Gaelle Fromont ◽  
Michel Vidaud ◽  
Alain Latil ◽  
Guy Vallancien ◽  
Pierre Validire ◽  
...  
Keyword(s):  
Gene Expression ◽  
Benign Prostatic Hyperplasia ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Prostatic Hyperplasia
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