@inproceedings{5b16093226674d679c51d4c0f463c661,
title = "Understanding Gene Sequence Variation in the Context of Transcription Regulation in Yeast",
abstract = "The availability of expression quantitative trait loci (eQTL) data can help understanding the genetic basis of variation in gene expression. However, it has proven difficult to accurately predict functional genetic changes due to low statistical power. To address this challenge, we developed a novel computational approach for combining eQTL data with complementary regulatory network to identify modules of genes, their underlying genetic polymorphism and their shared regulatory proteins activity. The resulting eQTL model implicates novel central protein complexes that share not only a regulatory protein but also an underlying genetic variation. Our method manifests higher sensitivity than prior computational efforts.",
author = "Irit Gat-Viks and Renana Meller and Martin Kupiec and Ron Shamir",
note = "Publisher Copyright: {\textcopyright} 2011, Springer-Verlag Berlin Heidelberg.; 15th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2011 ; Conference date: 28-03-2011 Through 31-03-2011",
year = "2011",
doi = "10.1007/978-3-642-20036-6_8",
language = "אנגלית",
isbn = "9783642200359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "69",
editor = "Vineet Bafna and Sahinalp, {S. Cenk}",
booktitle = "Research in Computational Molecular Biology - 15th Annual International Conference, RECOMB 2011, Proceedings",
}