Zobrazeno 1 - 10
of 38
pro vyhledávání: '"John D. MacCuish"'
Autor:
Mohsen Mahmoudi Aznaveh
Publikováno v:
ACM SIGACT News. 45:15-17
Autor:
Aznaveh, Mohsen
Publikováno v:
ACM SIGACT News; September 2014, Vol. 45 Issue: 3 p15-17, 3p
Autor:
Norah E. MacCuish, John D. MacCuish
Publikováno v:
ACS Symposium Series ISBN: 9780841238589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c22354fb522fb53e4e1509fd46d41df5
https://doi.org/10.1021/bk-2005-0894.ch011
https://doi.org/10.1021/bk-2005-0894.ch011
Autor:
Barry K. Lavine, Jerome Workman, Steven D. Brown, HuWei Tan, Robert Feudale, Fredrik Pettersson, Anders Berglund, Ling Xue, Florence L. Stahura, Jürgen Bajorath, G. W. A. Milne, John D. Holliday, Naomie Salim, Peter Willett, Rajni Garg, Curt M. Breneman, Minghu Song, Jinbo Bi, N. Sukumar, Kristin P. Bennett, Steven Cramer, N. Tugcu, Charles E. Davidson, Curt Breneman, William Katt, Douglas R. Henry, Joseph L. Durant, Norah E. MacCuish, John D. MacCuish, Weida Tong, Huixiao Hong, Hong Fang, Qian Xie, Roger Perkins, John D. Walker
Publikováno v:
Sci-Tech News. May2011, Vol. 65 Issue 2, p30-30. 1/5p.
Autor:
Michael J. Dochniak, Author
The best hope for peace and prosperity in our world is the expansion of information, and, as such, Artificial Intelligence (AI) was created to process an infinite amount of information. As men and women continue to perfect AI, monitoring its evolutio
Autor:
Amit Kessel, Nir Ben-Tal
As the tools and techniques of structural biophysics assume greater roles in biological research and a range of application areas, learning how proteins behave becomes crucial to understanding their connection to the most basic and important aspects
Autor:
Sebastian Bassi
In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of softw
Autor:
Momiao Xiong
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the