Repressilator with time-delayed gene expression. Part I. Deterministic description
نویسندگان
چکیده
منابع مشابه
Space - Time Coding for Aeronautical Telemetry : Part I — System Description
This paper described the design and implementation of a prototype transmitter and a prototype demodulator/decoder for space-time coded SOQPSK-TG for aeronautical telemetry. The design exercise showed that the space-time coding concept can be reduced to hardware. The laboratory bit error rate tests showed that the performance of the prototype demodulator in a 2-transmit/1-receive antenna configu...
متن کاملMining Time - delayed Gene Regulation Patterns from Gene Expression Data
Discovered gene regulation networks are very helpful to predict unknown gene functions. The activating and deactivating relations between genes and genes are mined from microarray gene expression data. There are evidences showing that multiple time units delay exist in a gene regulation process. Association rule mining technique is very suitable for finding regulation relations among genes. How...
متن کاملBuilding gene networks with time-delayed regulations
3 We propose a method to build gene regulatory networks (GRN) capable of 4 representing time-delayed regulations. The gene expression data is repre5 sented in a linear model using a dynamic Bayesian network (DBN) and a 6 skip-chain model using a hidden Markov model. The method therefore finds 7 both shortand long-term regulatory interactions. The algorithm was tested 8 on time-series data of th...
متن کاملUser cooperation diversity. Part I. System description
—Mobile users' data rate and quality of service are limited by the fact that, within the duration of any given call, they experience severe variations in signal attenuation, thereby necessitating the use of some type of diversity. In this two-part paper, we propose a new form of spatial diversity, in which diversity gains are achieved via the cooperation of mobile users. Part I describes the us...
متن کاملCNS Tumor Prediction Using Gene Expression Data Part I
Automated diagnosis and prognosis of tumors of the central nervous system (CNS) offer overwhelming challenges because of heterogeneous phenotype and genotype behavior of tumor cells (Yang et al. 2003, Pomeroy et al. 2002). Unambiguous characterization of these tumors is essential for accurate prognosis and therapy. Although the present imaging techniques help to explore the anatomical features ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Research and Modeling
سال: 2018
ISSN: 2076-7633,2077-6853
DOI: 10.20537/2076-7633-2018-10-2-241-259