Zobrazeno 1 - 10 of 31 pro vyhledávání: '"K. O. Babalola"'
1
ON COEFFICIENT BOUNDS AND FUNCTIONALS OF ANALYTIC FUNCTIONS ON A UNIT DISC
Autor: K. O. Babalola, T. O. Opoola, Philip Terwase Ajai
Publikováno v: FUDMA JOURNAL OF SCIENCES. 5:574-578
We introduce and investigate a new subclasses of the function class of biunivalent functions defined in the open unit disk, which are associated with linear combinations of some geometric expressions, satisfying subordinate conditions. Coefficients a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a39f2d95b75a5efa50f684084c0f616
https://doi.org/10.33003/fjs-2021-0502-672
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2
ASSESSMENT OF PHYSICOCHEMICAL PARAMETERS AND HEAVY METALS IN EFFLUENTS FROM ODOGUNYAN INDUSTRIAL ESTATE, LAGOS, NIGERIA
Autor: K. O. Babalola, Samson O. Owalude, Ezekiel O. Odebunmi
Publikováno v: FUDMA JOURNAL OF SCIENCES. 4:223-230
The impact of the industrial effluents from Odogunyan industrial estate on the environment was assessed by determination of some physicochemical characteristics of the effluent samples and comparison with discharged standards to ascertain the efficie
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2512559205d96dbe5932f2abe257091d
https://doi.org/10.33003/fjs-2020-0404-475
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3
Complex-Parameter Integral Iterations of Caratheodory Maps
Autor: K. O. Babalola, Mashood Sidiq
Publikováno v: Tamkang Journal of Mathematics. 51:289-301
Recent studies in the class of Bazilevi$\check{c}$ maps as a whole has compelled the development, in this work, of certain complex-parameter integral iterations of Caratheodory maps. The iterations are employed in a similar manner as in \cite{BA} to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f265c18ac09897a6fe0ee92fd49f3cc6
https://doi.org/10.5556/j.tkjm.51.2020.3047
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4
Soft windowing application to improve analysis of high-throughput phenotyping data
Autor: Alexandr Bezginov, Paul Flicek, Masaru Tamura, Masuya Hiroshi, Mohammed Selloum, Yeon Kyung Kang, Herault Yann, Rodney C. Samaco, Ann-Marie Mallon, Helen Parkinson, Soo Young Cho, Ghina Bou About, Nadine Spielmann, Arturo Garza, Glauco P. Tocchini-Valentini, Gregor Miller, Obata Yuichi, John R. Seavitt, Surabi Veeraragavan, Jennie R. Green, Ewan Straiton, Marie-France Champy, Ann M Flenniken, Je Kyung Seong, Kyung Dong Soo, Isabel Lorenzo, Kevin C K Lloyd, Terrence F. Meehan, Vivek Kumar, Lillian Garrett, Damian Smedley, Elif F. Acar, Hamid Meziane, Ritu Bohat, Lore Becker, Sophie Leblanc, Denise G. Lanza, Angelina Gaspero, Audrey E. Christianson, Juan Gallegos, Wurst Wolfgang, Chih-Wei Hsu, Hamed Haselimashhadi, Colin McKerlie, Ruairidh King, Stephen D.M. Brown, Dave Clary, Nobuhiko Tanaka, Tania Sorg, Helmut Fuchs, Jason D. Heaney, Jacqui White, Jeremy Mason, Martin Hrabé de Angelis, Federico López-Gómez, Laurent Vasseur, Valerie Gailus-Durner, Holger Maier, Corey L. Reynolds, Violeta Muñoz-Fuentes, Mary E Dickinson, K. O. Babalola, Patrick T. Reilly, Jong Kyoung Kim
Publikováno v: Bioinformatics (Oxford, England), vol 36, iss 5
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2020, 36 (5), pp.1492-1500. ⟨10.1093/bioinformatics/btz744⟩
Bioinformatics (Oxford, England)
Motivation High-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local control
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea426176e5d2b904070992f883f07dde
https://escholarship.org/uc/item/28f9b9xc
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6
High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation
Autor: Maria A. Duque Correa, Simon P. Forman, Anneliese O. Speak, Dmitry S. Ushakov, Natasha A. Karp, Susana Caetano, Heather M. Wilson, George X. Song-Zhao, Matthew Edmans, Jacqueline K. White, Adam Laing, Namita Saran, Kevin J. Maloy, Justin Meskas, Sibyl Drissler, Emma L. Cambridge, Anna Chan, William R. Jacobs, Jua Iwasaki, Eleanor Cawthorne, Ramiro Ramirez-Solis, Alice Yue, Markus Pasztorek, Tanya L. Crockford, Richard K. Grencis, Amrutha Meeniga, Adrian Hayday, Cordelia Brandt, Albina Rahim, Terrence F. Meehan, Markus Lux, Leanne Kane, Belén Morón, George Notley, Johannes Abeler, Natasha Strevens, Keng I. Hng, Mark Griffiths, Carmen Ballesteros Reviriego, Katherine Harcourt, Fiona Powrie, Richard J. Cornall, David Melvin, Jeremy Mason, Jonathan Warren, David J. Adams, Simon Clare, Katherine R. Bull, Ryan R. Brinkman, Anna Lorenc, Gillian M. Griffiths, K. O. Babalola, Gordon Dougan, Brian Weinrick, Clare M. Lloyd, Lucie Abeler-Dörner, Philippa R. Barton, Agnieszka Przemska-Kosicka
Publikováno v: Forman, S, Grencis, R & et al. 2019, ' High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation ', Nature Immunology, vol. 21, pp. 86-100 . https://doi.org/10.1038/s41590-019-0549-0
Nat Immunol
By developing a high-density murine immunophenotyping platform compatible with high-throughput genetic screening, we have established profound contributions of genetics and structure to immune variation. Specifically, high-throughput phenotyping of 5
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f2af8846d8b60da029e9a0d672bfa60
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9
A parts-and-geometry initialiser for 3D non-rigid registration using features derived from spin images
Autor: A. D. Gait, K. O. Babalola, Timothy F. Cootes
Publikováno v: Neurocomputing. 120:113-120
Non-rigid registration is an important precursor to statistical analysis and machine learning in medical image analysis. It is commonly used to find correspondences between images which is a necessary first step for further processing. However, regis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a97bd0575ae5a6bf14846a252c853afd
https://doi.org/10.1016/j.neucom.2012.08.052
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