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pro vyhledávání: '"DANIELS, NOAH M."'
The Big Data explosion has necessitated the development of search algorithms that scale sub-linearly in time and memory. While compression algorithms and search algorithms do exist independently, few algorithms offer both, and those which do are doma
Externí odkaz:
http://arxiv.org/abs/2409.12161
Autor:
Prior, Morgan E., Howard III, Thomas J., McLaughlin, Oliver, Ferguson, Terrence, Ishaq, Najib, Daniels, Noah M.
The ongoing Big Data explosion has created a demand for efficient and scalable algorithms for similarity search. Most recent work has focused on \textit{approximate} $k$-NN search, and while this may be sufficient for some applications, \textit{exact
Externí odkaz:
http://arxiv.org/abs/2309.05491
Autor:
Shpilker, Polina, Freeman, John, McKelvie, Hailey, Ashey, Jill, Fonticella, Jay-Miguel, Putnam, Hollie, Greenberg, Jane, Cowen, Lenore J., Couch, Alva, Daniels, Noah M.
Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical, details. Key details, such as the specific version of a software used
Externí odkaz:
http://arxiv.org/abs/2204.09610
Anomaly and outlier detection is a long-standing problem in machine learning. In some cases, anomaly detection is easy, such as when data are drawn from well-characterized distributions such as the Gaussian. However, when data occupy high-dimensional
Externí odkaz:
http://arxiv.org/abs/2103.11774
Both astronomy and biology are experiencing explosive growth of data, resulting in a "big data" problem that stands in the way of a "big data" opportunity for discovery. One common question asked of such data is that of approximate search ($\rho-$nea
Externí odkaz:
http://arxiv.org/abs/1908.08551
Publikováno v:
Cell Systems, Volume 1, Issue 2, 130-140, 2015
Many datasets exhibit a well-defined structure that can be exploited to design faster search tools, but it is not always clear when such acceleration is possible. Here, we introduce a framework for similarity search based on characterizing a dataset'
Externí odkaz:
http://arxiv.org/abs/1503.05638
Autor:
Daniels, Noah M.
Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and function. Since structure is typically more conserved than sequence over
Externí odkaz:
http://arxiv.org/abs/1304.6476
Akademický článek
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Publikováno v:
Communications of the ACM. Aug2016, Vol. 59 Issue 8, p72-80. 9p. 1 Color Photograph, 1 Diagram, 1 Chart, 2 Graphs.
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 259 (2012)
Abstract Background The quality of multiple protein structure alignments are usually computed and assessed based on geometric functions of the coordinates of the backbone atoms from the protein chains. These purely geometric methods do not utilize di
Externí odkaz:
https://doaj.org/article/30eacdaac4b44845bc159810720060ac