Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms
tarafından
Fakhry, Carl Tony, author.
Başlık
:
Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms
Yazar
:
Fakhry, Carl Tony, author.
ISBN
:
9780438003620
Yazar Ek Girişi
:
Fakhry, Carl Tony, author.
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
Konu Başlığı
:
Computer science.
Artificial intelligence.
Tüzel Kişi Ek Girişi
:
University of Massachusetts Boston. Computer Science.
Elektronik Erişim
:
Yer Numarası | Demirbaş Numarası | Shelf Location | Shelf Location | Holding Information |
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XX(679097.1) | 679097-1001 | Proquest E-Tez Koleksiyonu | Proquest E-Tez Koleksiyonu | |