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» Biological information as set-based complexity
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IEAAIE
2010
Springer
13 years 7 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...
DILS
2005
Springer
14 years 3 months ago
Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata
Unbiased metabolomic surveys are used for physiological, clinical and genomic studies to infer genotype-phenotype relationships. Long term reusability of metabolomic data needs bot...
Oliver Fiehn, Gert Wohlgemuth, Martin Scholz
CCE
2005
13 years 9 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
IWANN
2005
Springer
14 years 3 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
CAINE
2006
13 years 11 months ago
A novel parallel hardware and software solution for a large-scale biologically realistic cortical simulation
This research addresses a major gap in our conceptual understanding of synaptic and brain-like network dynamics. Over the course of several years we have designed and implemented ...
Frederick C. Harris Jr., Mark C. Ballew, Jason Bau...