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» Learning Methods for DNA Binding in Computational Biology
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CIBCB
2005
IEEE
15 years 3 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
NORDICHI
2004
ACM
15 years 3 months ago
Designing a collaborative virtual environment for introducing pupils to complex subject matter
Mission Queen Maud Land (MQML) is a collaborative virtual environment that was developed to explore new ways to stimulate secondary school pupils to collaborate in grasping comple...
Ragnhild Halvorsrud, Simen Hagen
JCB
2006
185views more  JCB 2006»
14 years 9 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
CIBCB
2009
IEEE
14 years 10 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
CIBCB
2005
IEEE
15 years 3 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao