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» Learning Methods for DNA Binding in Computational Biology
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ALMOB
2006
106views more  ALMOB 2006»
14 years 9 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
86
Voted
TCBB
2008
122views more  TCBB 2008»
14 years 9 months ago
Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference
Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new adva...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...
85
Voted
DAC
2006
ACM
15 years 3 months ago
Automated design of pin-constrained digital microfluidic arrays for lab-on-a-chip applications*
Microfluidics-based biochips, also referred to as lab-on-a-chip (LoC), are devices that integrate fluid-handling functions such as sample preparation, analysis, separation, and de...
William L. Hwang, Fei Su, Krishnendu Chakrabarty
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 15 days ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
15 years 6 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...