Results 231 to 240 of about 3,447,982 (286)

Non-Classical HLA and MIC Risk Score Is Associated With Acute Kidney Transplant Rejection Beyond Classical HLA Matching. [PDF]

HLA
Tammi S, Markkinen S, Helanterä I, Lempinen M, Partanen J, Hyvärinen K, Ritari J.   +6 more
europepmc   +1 more source

Recent advances in computational antimicrobial peptide discovery through big data, modeling, and artificial intelligence and their interplay in ushering the next golden era of drug development. [PDF]

Front Bioinform
Ibisanmi TA, Jiang X, Willcox M, Kumar N.   +3 more
europepmc   +1 more source

Causal Discovery in Observational Medical Research: Scoping Review.

JMIR Med Inform
Liu Z, Luo T, Ma H, Mo J, Yang X, Huang Z, Li J, Kuang J.   +7 more
europepmc   +1 more source

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Knowledge Discovery in Simulation Data

ACM Transactions on Modeling and Computer Simulation, 2020
This article provides a comprehensive and in-depth overview of our work on knowledge discovery in simulations. Application-wise, we focus on manufacturing simulations. Specifically, we propose and discuss a methodology for designing, executing, and analyzing large-scale simulation experiments with a broad coverage of possible system behavior targeted ...
Niclas Feldkamp, Soeren Bergmann, Steffen Strassburger   +2 more
openaire   +2 more sources

Knowledge discovery from numerical data

Knowledge-Based Systems, 1998
One of the authors previously presented an algorithm for discovering understandable propositions from numerical data. The algorithm consists of normalization, multiple regression analysis and the approximation of multilinear functions by continuous Boolean functions. Continuous Boolean functions are included in the space of multilinear functions.
Chie Morita, Hiroshi Tsukimoto
openaire   +1 more source

Knowledge Discovery from Geographical Data

2008
During the last decade, data miners became aware of geographical data. Today, knowledge discovery from geographic data is still an open research field but promises to be a solid starting point for developing solutions for mining spatiotemporal patterns in a knowledge-rich territory.
S. RINZIVILLO, TURINI, FRANCO, V. BOGORNY, C. KOERNER, B. KUIJPERS, M. MAY   +5 more
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Discovering discovery: Data discovery best practices

Applied Marketing Analytics: The Peer-Reviewed Journal, 2015
Data discovery is the art of going beyond answering specific questions. Given the goals of the organisation and a clean and reliable dataset, the ‘data detective’ is at his or her best in formulating intriguing questions. This paper looks at a variety of ways to stimulate the creative analytics process through the study of anomalies, the employment of ...
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Big Data in Drug Discovery

2018
Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way.
Nathan, Brown, Jean, Cambruzzi, Peter J, Cox, Mark, Davies, James, Dunbar, Dean, Plumbley, Matthew A, Sellwood, Aaron, Sim, Bryn I, Williams-Jones, Magdalena, Zwierzyna, David W, Sheppard   +10 more
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