Qualified type:	Conference paper
Title:	An Entropy-based statistical workflow provides noise-minimizing biological annotation for
Creator:	Aging M. Koutsandreas T. Valavanis I. Pilalis E. [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis
Editor:	Chen L. Zhang X.-S. Wu L.-Y. Wang Y.
Sponsor:	Academy of Mathematics and Systems Sciences of CAS (AMSS) National Natural Science Foundation of China (NSFC) Qingdao Institute of Bioenergy and Bioprocess Technology of CAS (QIBEBT) Qingdao University Shanghai Institutes for Biological Sciences of CAS (SIBS)
Publisher:	IEEE Computer Society
Date:	2014
Language:	English
ISBN:	9781479972944
ISSN:	2325-0704
DOI:	10.1109/ISB.2014.6990749
Abstract:	This study aims to expand the efficiency of the interpretation concerning the aging process, by exploring a broad gene set, derived from the analysis of an integrative transcriptomic microarray dataset. The dataset comprises human skeletal muscle samples, obtained from healthy males and females, that were used to derive a gene signature of a high informative content, with respect to its functional association with the aging phenotype. Towards this end, a multilayered computational workflow integrating advanced statistical methodologies for the derivation of reliable confidence measures, distribution-based entropy calculations to examine the informational content of the dataset, enrichment analysis, graph-theoretic methods and intuitive visualization was applied. Specifically, statistical testing revealed differentially expressed genes, while an uncertainty calculation algorithm, exploiting Gene Ontology (GO) terms annotations, extended the list of significant genes from 254 to 2791, namely p-value threshold was increased from 0.0005 to 0.103, while keeping simultaneously noise measurements legitimately low. This rich gene set associated functionally the macroscopic phenotype of muscular aging with highly informative, stably correlated with each other, molecular annotations in the GO database. Finally, a set of 57 reliable genes was identified that comprise a gender-independent aging signature, after incorporating crucial information about genes pivotal regulatory role as inferred by the GO tree. The biological interpretation was highly assisted by the illustration of the functional mappings between genes, cellular location and biological processes through circle packing graphs.
Event name:	8th International Conference on Systems Biology, ISB 2014
Event start date:	2014-08-24
Event end date:	2014-08-27
Reference title:	International Conference on Systems Biology, ISB
Pages:	156-163
Subject:	[EL] Βιολογία (Γενικά)[EN] Biology (General) [EL] Βιολογία (Γενικά)[EN] Biology (General)
Keywords:	aging enrichment analysis entropy functional annotation gene ontology genes muscle visualization
Peer review:	Yes
Rights holder:	© 2014 IEEE.
Appears in Collections:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο