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113
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BMCBI
2010
208views more  BMCBI 2010»
15 years 1 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
125
Voted
OTM
2009
Springer
15 years 7 months ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...
102
Voted
PODS
2002
ACM
98views Database» more  PODS 2002»
16 years 1 months ago
On Propagation of Deletions and Annotations Through Views
We study two classes of view update problems in relational databases. We are given a source database S, a monotone query Q, and the view Q(S) generated by the query. The first pro...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
191
Voted
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
16 years 1 months ago
Efficient provenance storage
Scientific workflow systems are increasingly used to automate complex data analyses, largely due to their benefits over traditional approaches for workflow design, optimization, a...
Adriane Chapman, H. V. Jagadish, Prakash Ramanan
130
Voted
IPAW
2010
14 years 10 months ago
Towards a Threat Model for Provenance in e-Science
Abstract. Scientists increasingly rely on workflow management systems to perform large-scale computational scientific experiments. These systems often collect provenance informatio...
Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wil...