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» Biological Network Inference Using Redundancy Analysis
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BMCBI
2008
116views more  BMCBI 2008»
14 years 9 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...
91
Voted
JIB
2008
87views more  JIB 2008»
14 years 9 months ago
2.5D Visualisation of Overlapping Biological Networks
Biological data is often structured in the form of complex interconnected networks such as protein interaction and metabolic networks. In this paper, we investigate a new problem ...
David Cho Yau Fung, Seok-Hee Hong, Dirk Koschü...
ICPR
2010
IEEE
15 years 3 months ago
Using Sequential Context for Image Analysis
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
Antonio Paiva, Elizabeth Jurrus, Tolga Tasdizen
80
Voted
BMCBI
2010
148views more  BMCBI 2010»
14 years 9 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
66
Voted
ICML
2010
IEEE
14 years 10 months ago
On learning with kernels for unordered pairs
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...
Martial Hue, Jean-Philippe Vert