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» The Structure Function and Distinguishable Models of Data
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RECOMB
2001
Springer
13 years 12 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
VIS
2004
IEEE
148views Visualization» more  VIS 2004»
14 years 8 months ago
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
In this article we explore techniques to detect and visualize features in data from molecular dynamics (MD) simulations. Although the techniques proposed are general, we focus on ...
John Wilkins, Kaden Hazzard, Raghu Machiraju, Same...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 11 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
WCRE
2000
IEEE
13 years 12 months ago
A Structured Demonstration of Five Program Comprehension Tools: Lessons Learnt
The purpose of this panel is to report on a structured demonstration for comparing program comprehension tools. Five program comprehension tool designers applied their tools to a ...
Susan Elliott Sim, Margaret-Anne D. Storey, Andrea...
CSDA
2007
87views more  CSDA 2007»
13 years 7 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas