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BMCBI
2010
171views more  BMCBI 2010»
15 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
RECOMB
2005
Springer
16 years 7 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
STOC
2003
ACM
174views Algorithms» more  STOC 2003»
16 years 7 months ago
Adiabatic quantum state generation and statistical zero knowledge
The design of new quantum algorithms has proven to be an extremely difficult task. This paper considers a different approach to the problem, by studying the problem of 'quant...
Dorit Aharonov, Amnon Ta-Shma
ICWS
2009
IEEE
16 years 4 months ago
Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents
: © Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents Chris Connelly, Brian Cox, Tim Forell, Rui Liu, Dejan Milojicic, Alan...
Chris Connelly, Brian Cox, Tim Forell, Rui Liu, De...
CLADE
2008
IEEE
16 years 1 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens