کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11023549 | 1701268 | 2019 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A qualitative analysis of ubiquitous regulatory motifs in Saccharomyces cerevisiae genetic networks
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
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چکیده انگلیسی
This work examines bistability and multistability within a Recurrent Neural Network model (RNN) for a 2-node and 3-node system under many different regulation scenarios. We determine parameter regions where there is bistability, multistability, or other stable modes in the expression states of the systems described by this network model. Our results show that although bistability can be generated with autoregulation it is also the case that both autorepression or no autoregulation can yield bistability as long as a sigmoidal behavior is present. Additionally, our results show the importance of considering more than a single connection when inferring a network as the observed biological result is averaged over many outcomes, which has implications for many algorithms that infer gene regulatory networks using the RNN models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 69, April 2019, Pages 148-167
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 69, April 2019, Pages 148-167
نویسندگان
Erika T. Camacho, Anca Radulescu, Stephen Wirkus, Pamela A. Marshall,