TY - GEN
T1 - Multi-knockout genetic network analysis
T2 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
AU - Kaufman, Alon
AU - Kupiec, Martin
AU - Ruppin, Eytan
PY - 2004
Y1 - 2004
N2 - A novel and rigorous Multi-perturbation Shopley Value Analysis (MSA) method has been recently presented [12]. The method addresses the challenge of defining and calculating the functional causal contributions of elements of a biological system. This paper presents the first study applying MSA to the analysis of gene knockout data. The MSA identifies the importance of genes in the Rad6 DNA repair pathway of the yeast S. cerevisiae, quantifying their contributions and characterizing their functional interactions. Incorporating additional biological knowledge, a new functional description of the Rad6 pathway is provided, predicting the existence of additional DNA polymerase and RFC-like complexes. The MSA is the first method for rigorously analyzing multi-knockout experiments, which are likely to soon become a standard and necessary tool for analyzing complex biological systems.
AB - A novel and rigorous Multi-perturbation Shopley Value Analysis (MSA) method has been recently presented [12]. The method addresses the challenge of defining and calculating the functional causal contributions of elements of a biological system. This paper presents the first study applying MSA to the analysis of gene knockout data. The MSA identifies the importance of genes in the Rad6 DNA repair pathway of the yeast S. cerevisiae, quantifying their contributions and characterizing their functional interactions. Incorporating additional biological knowledge, a new functional description of the Rad6 pathway is provided, predicting the existence of additional DNA polymerase and RFC-like complexes. The MSA is the first method for rigorously analyzing multi-knockout experiments, which are likely to soon become a standard and necessary tool for analyzing complex biological systems.
UR - http://www.scopus.com/inward/record.url?scp=11244290945&partnerID=8YFLogxK
U2 - 10.1109/csb.2004.1332446
DO - 10.1109/csb.2004.1332446
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C2 - 16448026
AN - SCOPUS:11244290945
SN - 0769521940
SN - 9780769521947
T3 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
SP - 332
EP - 340
BT - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
PB - IEEE Computer Society
Y2 - 16 August 2004 through 19 August 2004
ER -