Detection of Significant Genomic Alterations via Simultaneous Minimal Sojourns at a State by Independent Continuous-time Markov Chains

Verfasser / Beitragende:
[Stéphane Robin, Valeri Stefanov]
Ort, Verlag, Jahr:
2015
Enthalten in:
Methodology and Computing in Applied Probability, 17/2(2015-06-01), 479-487
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11009-013-9374-3  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11009-013-9374-3 
245 0 0 |a Detection of Significant Genomic Alterations via Simultaneous Minimal Sojourns at a State by Independent Continuous-time Markov Chains  |h [Elektronische Daten]  |c [Stéphane Robin, Valeri Stefanov] 
520 3 |a The connection between a disease and some genetic disorders can be studied by looking for recurrent alterations in genomic profiles of humans affected by the disease. Modeling each patient profile as a 2-state jump Markov process, we define a recurrent alteration in terms of a sojourn time of a cumulated process. The cumulated process happen to be a birth-and-death process. We provide the exact Laplace transforms of relevant hitting times associated with the latter. Based on this exact results, we derive an upper bound of a sojourn time probability of interest. Our upper bound is exactly equal to the p-value nominated in all earlier literature where an attempt is made for an assessment of the significance of genomic alterations. Moreover, that p-value has never been evaluated exactly in previous works. Finally, we give abaques which are useful for the assessment of recurrent genomic alterations for a variety of realistic alteration frequencies and lengths. 
540 |a Springer Science+Business Media New York, 2013 
690 7 |a Birth-and-death process  |2 nationallicence 
690 7 |a Genomic alteration  |2 nationallicence 
690 7 |a Laplace transform  |2 nationallicence 
690 7 |a Markov jump process  |2 nationallicence 
700 1 |a Robin  |D Stéphane  |u INRA, UMR 518 MIA, 16, rue C. Bernard, 75005, Paris, France  |4 aut 
700 1 |a Stefanov  |D Valeri  |u Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria  |4 aut 
773 0 |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 479-487  |x 1387-5841  |q 17:2<479  |1 2015  |2 17  |o 11009 
856 4 0 |u https://doi.org/10.1007/s11009-013-9374-3  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11009-013-9374-3  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Robin  |D Stéphane  |u INRA, UMR 518 MIA, 16, rue C. Bernard, 75005, Paris, France  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Stefanov  |D Valeri  |u Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 479-487  |x 1387-5841  |q 17:2<479  |1 2015  |2 17  |o 11009