TCBB
2010
12 years 11 months ago
2010
Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve kno...
TCBB
2010
12 years 11 months ago
2010
Markov chain Monte Carlo has been the standard technique for inferring the posterior distribution of genome rearrangement scenarios under a Bayesian approach. We present here a neg...
TCBB
2010
12 years 11 months ago
2010
TCBB
2010
2010
Quantifying the Degree of Self-Nestedness of Trees: Application to the Structural Analysis of Plants
12 years 11 months ago
In this paper we are interested in the problem of approximating trees by trees with a particular self-nested structure. Self-nested trees are such that all their subtrees of a give...
TCBB
2010
12 years 11 months ago
2010
Modern biology has moved from a science of individual measurements to a science where data are collected on an industrial scale. Foremost, among the new tools for biochemistry are ...
TCBB
2010
12 years 11 months ago
2010
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
TCBB
2010
12 years 11 months ago
2010
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
TCBB
2010
12 years 11 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
TCBB
2010
12 years 11 months ago
2010
Abstract--We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of fulltext documents relevant for protein-protein...
TCBB
2010
12 years 11 months ago
2010
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...