TY - GEN
T1 - Techniques of biclustering in gene expression analysis
AU - Tamulewicz, Anna
AU - Lipczyńska, Aleksandra
AU - Tkacz, Ewaryst
PY - 2012
Y1 - 2012
N2 - DNA microarrays allow to observe expression levels of large numbers of genes under different experimental conditions. One of the main goals in the gene expression analysis is clustering genes with similar expression patterns under specified conditions or clustering conditions according to expression of certain genes. Traditional clustering methods have some limitations, such as assumption that related genes behave similarly across all experimental conditions and partition of the genes into disjoint groups, which implying an association of the gene with a single biological process. In recent years, several biclustering methods were proposed to overcome the limitations of clustering. Biclustering allows for simultaneous grouping of genes and conditions, which leads to identification of subsets of genes exhibiting similar behavior across a subset of conditions. In gene expression analysis, the term biclustering was introduced in 2000 by Cheng and Church and since then several methods were developed. The paper presents a review of the algorithmic approaches to biclustering.
AB - DNA microarrays allow to observe expression levels of large numbers of genes under different experimental conditions. One of the main goals in the gene expression analysis is clustering genes with similar expression patterns under specified conditions or clustering conditions according to expression of certain genes. Traditional clustering methods have some limitations, such as assumption that related genes behave similarly across all experimental conditions and partition of the genes into disjoint groups, which implying an association of the gene with a single biological process. In recent years, several biclustering methods were proposed to overcome the limitations of clustering. Biclustering allows for simultaneous grouping of genes and conditions, which leads to identification of subsets of genes exhibiting similar behavior across a subset of conditions. In gene expression analysis, the term biclustering was introduced in 2000 by Cheng and Church and since then several methods were developed. The paper presents a review of the algorithmic approaches to biclustering.
KW - biclustering
KW - clustering
KW - gene expression analysis
KW - microarray
UR - https://www.scopus.com/pages/publications/84862496390
U2 - 10.1007/978-3-642-31196-3_43
DO - 10.1007/978-3-642-31196-3_43
M3 - Conference contribution
AN - SCOPUS:84862496390
SN - 9783642311956
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 430
EP - 436
BT - Information Technologies in Biomedicine - Third International Conference, ITIB 2012, Proceedings
T2 - 3rd International Conference on Information Technologies in Biomedicine, ITIB 2012
Y2 - 11 June 2012 through 13 June 2012
ER -