Abstract:
:Accurate inference of causal gene regulatory networks from gene expression data is an open bioinformatics challenge. Gene interactions are dynamical processes and consequently we can expect that the effect of any regulation action occurs after a certain temporal lag. However such lag is unknown a priori and temporal aspects require specific inference algorithms. In this paper we aim to assess the impact of taking into consideration temporal aspects on the final accuracy of the inference procedure. In particular we will compare the accuracy of static algorithms, where no dynamic aspect is considered, to that of fixed lag and adaptive lag algorithms in three inference tasks from microarray expression data. Experimental results show that network inference algorithms that take dynamics into account perform consistently better than static ones, once the considered lags are properly chosen. However, no individual algorithm stands out in all three inference tasks, and the challenging nature of network inference tasks is evidenced, as a large number of the assessed algorithms does not perform better than random.
journal_name
Front Genetjournal_title
Frontiers in geneticsauthors
Lopes M,Bontempi Gdoi
10.3389/fgene.2013.00303subject
Has Abstractpub_date
2013-12-24 00:00:00pages
303issn
1664-8021journal_volume
4pub_type
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journal_title:Frontiers in genetics
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
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journal_title:Frontiers in genetics
pub_type: 杂志文章
doi:10.3389/fgene.2020.00810
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journal_title:Frontiers in genetics
pub_type: 杂志文章
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abstract::Selective breeding programs aiming to increase the productivity and profitability of the sheep meat industry use elite, progeny tested sires. The broad genetic traits of primary interest in the progeny of these sires include skeletal muscle yield, fat content, eating quality, and reproductive efficiency. Natural mutat...
journal_title:Frontiers in genetics
pub_type: 杂志文章
doi:10.3389/fgene.2012.00164
更新日期:2012-08-29 00:00:00
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pub_type: 杂志文章,评审
doi:10.3389/fgene.2020.603552
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doi:10.3389/fgene.2019.00248
更新日期:2019-03-22 00:00:00
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doi:10.3389/fgene.2020.00788
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journal_title:Frontiers in genetics
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doi:10.3389/fgene.2020.604757
更新日期:2021-01-15 00:00:00
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pub_type: 杂志文章,评审
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journal_title:Frontiers in genetics
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