Zobrazeno 1 - 8
of 8
pro vyhledávání: '"A. Onokpasa"'
In past work (Onokpasa, Wild, Wong, DCC 2023), we showed that (a) for joint compression of RNA sequence and structure, stochastic context-free grammars are the best known compressors and (b) that grammars which have better compression ability also sh
Externí odkaz:
http://arxiv.org/abs/2401.16623
In this paper, we use the biological domain knowledge incorporated into stochastic models for ab initio RNA secondary-structure prediction to improve the state of the art in joint compression of RNA sequence and structure data (Liu et al., BMC Bioinf
Externí odkaz:
http://arxiv.org/abs/2302.11669
Levels, bioaccumulation and biomagnification of pesticide residues in a tropical freshwater food web
Autor:
Alex Ajeh Enuneku, Nosakhare Osazee Erhunmwunse, O. Asemota, Lawrence Ikechukwu Ezemonye, Ozekeke Ogbeide, F. Emerure, Isioma Tongo, A. Onokpasa, Emmanuel Temiotan Ogbomida, P. T. Balogun
Publikováno v:
International Journal of Environmental Science and Technology. 19:1467-1482
The study assessed pesticide contamination transfer in Ikpoba River, an important tropical freshwater ecosystem in Southern Nigeria. The study quantified concentrations, bioaccumulation and biomagnification of pesticides in Ikpoba River’s food web,
Publikováno v:
International Journal of Computer Applications. 181:39-43
Autor:
Bakwa Dunka, Onokpasa Eva
Publikováno v:
International Journal of Computer Applications. 181:46-52
Akademický článek
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Publikováno v:
International Journal of Computer Applications. 178:1-3
Autor:
Tongo, I., Onokpasa, A., Emerure, F., Balogun, P. T., Enuneku, A. A., Erhunmwunse, N., Asemota, O., Ogbomida, E., Ogbeide, O., Ezemonye, L.
Publikováno v:
International Journal of Environmental Science & Technology (IJEST); Mar2022, Vol. 19 Issue 3, p1467-1482, 16p