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Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms
Başlık:
Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms
Yazar:
Fakhry, Carl Tony, author.
ISBN:
9780438003620
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (140 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisors: Ping Chen Committee members: Rahul Kulkarni; Dan Simovici; Kourosh Zarringhalam.
Özet:
In this dissertation, we tackle problems in gene regulation and distance metric learning. In the first part of this thesis, we present three novel approaches for modeling transcriptional and post-transcriptional gene regulatory mechanisms. First, we propose a causal reasoning model for inferring upstream regulators of gene expression, including transcriptional regulators. Second, we propose a model for predicting small RNAs (sRNAs) in bacterial species that act as post-transcriptional regulators of the global regulator CsrA. Third, we propose a generalization of genome-wide association study (GWAS) over regulatory networks to identify functional pathways that are associated with a complex trait. Finally, in the second part of this thesis, we present a reformulation of the distance metric learning problem. All of our methods achieve good performance, are computationally efficient and are implemented in open-source R packages which can be installed from public repositories.
Notlar:
School code: 1074
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(679097.1) | 679097-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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