Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anandh Swaminathan"'
Autor:
Gautham Vivek Sridharan, Bote Gosse Bruinsma, Shyam Sundhar Bale, Anandh Swaminathan, Nima Saeidi, Martin L. Yarmush, Korkut Uygun
Publikováno v:
Metabolites, Vol 7, Iss 4, p 58 (2017)
Large-scale -omics data are now ubiquitously utilized to capture and interpret global responses to perturbations in biological systems, such as the impact of disease states on cells, tissues, and whole organs. Metabolomics data, in particular, are di
Externí odkaz:
https://doaj.org/article/2974eadb832c48b5b4b648371a189e7c
Publikováno v:
IEEE Control Systems. 38:32-62
Living organisms are differentiated by their genetic material-millions to billions of DNA bases encoding thousands of genes. These genes are translated into a vast array of proteins, many of which have functions that are still unknown. Previously, it
Autor:
Nima Saeidi, Shyam Sundhar Bale, Bote G. Bruinsma, Korkut Uygun, Martin L. Yarmush, Anandh Swaminathan, Gautham V. Sridharan
Publikováno v:
Metabolites, Vol 7, Iss 4, p 58 (2017)
Metabolites
Metabolites; Volume 7; Issue 4; Pages: 58
Metabolites
Metabolites; Volume 7; Issue 4; Pages: 58
Large-scale -omics data are now ubiquitously utilized to capture and interpret global responses to perturbations in biological systems, such as the impact of disease states on cells, tissues, and whole organs. Metabolomics data, in particular, are di
Publikováno v:
CDC
An ongoing area of study in synthetic biology has been the design and construction of synthetic circuits that maintain homeostasis at the population level. Here, we are interested in designing a synthetic control circuit that regulates the total cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17fcf840f7b703193cfb36716e0348df
https://doi.org/10.1101/120253
https://doi.org/10.1101/120253
Identification of Markov Chains From Distributional Measurements and Applications to Systems Biology
Autor:
Anandh Swaminathan, Richard M. Murray
Publikováno v:
Scopus-Elsevier
In this paper, we are concerned with doing system identification for biological systems using time series distributional measurements and Markov chain models. By distributional measurements, we mean measurements provided by assays such as flow cytome
Autor:
Richard M. Murray, Anandh Swaminathan
Publikováno v:
ACC
We consider identifiability of linear systems driven by white noise using a combination of distributional and time series measurements. Specifically, we assume that the system has no control inputs available and can only be observed at stationarity.