Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Farzaneh Sadat Tabataba"'
Autor:
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe
Publikováno v:
BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-27 (2017)
Abstract Background Over the past few decades, numerous forecasting methods have been proposed in the field of epidemic forecasting. Such methods can be classified into different categories such as deterministic vs. probabilistic, comparative methods
Externí odkaz:
https://doaj.org/article/f3e923e8efdc4e5690ad6fd635160ced
Autor:
Farzaneh Sadat Tabataba, Foroogh S. Tabataba, Dave Higdon, Madhav V. Marathe, Srinivasan Venkatramanan, Bryan Lewis, Jiangzhuo Chen, Milad Hosseinipour
Publikováno v:
ICDM
Over the past decades, numerous techniques have been developed to forecast the temporal evolution of epidemic outbreaks. This paper proposes an approach that combines high resolution agent-based models using realistic social contact networks for simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc2782731fa9feefcbb3be8ee37234af
https://doi.org/10.1109/icdm.2017.145
https://doi.org/10.1109/icdm.2017.145
Autor:
Farzaneh Sadat Tabataba, Naren Ramakrishnan, Srinivasan Venkatramanan, Bryan Lewis, Jiangzhuo Chen, Madhav V. Marathe, Prithwish Chakraborty
Publikováno v:
BMC Infectious Diseases
BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-27 (2017)
BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-27 (2017)
Background: Over the past few decades, numerous forecasting methods have been proposed in the field of epidemic forecasting. Such methods can be classified into different categories such as deterministic vs. probabilistic, comparative methods vs. gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00dfe2d30dacb2e1c4fb24331e357a6c
http://europepmc.org/articles/PMC5433189
http://europepmc.org/articles/PMC5433189
Autor:
Lenwood S. Heath, Yihui Fang, Curtis Klumas, Akshay Kakumanu, Delasa Aghamirzaie, Eva Collakova, Ruth Grene, Elijah Myers, Farzaneh Sadat Tabataba
Publikováno v:
Metabolites
Metabolites; Volume 3; Issue 2; Pages: 347-372
Metabolites, Vol 3, Iss 2, Pp 347-372 (2013)
Metabolites; Volume 3; Issue 2; Pages: 347-372
Metabolites, Vol 3, Iss 2, Pp 347-372 (2013)
Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d5f3c165fb7b655f08530db6ed3826a
http://europepmc.org/articles/PMC3901275
http://europepmc.org/articles/PMC3901275
Publikováno v:
Engineering Applications of Artificial Intelligence
The Shortest Common Supersequence Problem asks to obtain a shortest string that is a supersequence of every member of a given set of strings. It has applications, among others, in data compression and oligonucleotide microarray production. The proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42eea30c6e27c9c292f09193d27272a1
https://doi.org/10.1016/j.engappai.2011.08.006
https://doi.org/10.1016/j.engappai.2011.08.006
Publikováno v:
Computers & Operations Research. 39:512-520
The Longest Common Subsequence problem seeks a longest subsequence of every member of a given set of strings. It has applications, among others, in data compression, FPGA circuit minimization, and bioinformatics. The problem is NP-hard for more than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c5f7a5d461c701708c6ab216170a8ed
https://doi.org/10.1016/j.cor.2011.02.026
https://doi.org/10.1016/j.cor.2011.02.026
Publikováno v:
Computational biology and chemistry. 36
The Longest Common Subsequence Problem is the problem of finding a longest string that is a subsequence of every member of a given set of strings. It has applications in FPGA circuit minimization, data compression, and bioinformatics, among others. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc8af0f824eadc31a821727b95528196
https://pubmed.ncbi.nlm.nih.gov/22286085
https://pubmed.ncbi.nlm.nih.gov/22286085