By Nicole Radde, Lars Kaderali (auth.), Sepp Hochreiter, Roland Wagner (eds.)
This quantity comprises the papers that have been chosen for oral presentation on the first Bioinformatics learn and improvement (BIRD) convention held in Berlin, Germany in the course of March 12-14, 2007. chicken covers a variety of subject matters on the topic of bioinformatics like microarray info, genomics, unmarried nucleotide polymorphism, series research, structures biology, scientific functions, proteomics, info platforms. The convention was once very aggressive. From approximately a hundred and forty submissions simply 36 have been chosen by way of this system Committee for oral presentation at chicken and for ebook in those complaints. The attractiveness cost was once 1/4. the choices of this system Committee have been guided by way of the ideas of a number of reviewers for every paper. it may be pointed out that those court cases have better half court cases released by way of the Austrian desktop Society the place chosen poster shows of the fowl convention are integrated. The invited speak titled "From Flies to Human disorder" by way of Josef Penninger, one of many top researcher in genetic experiments for investigating sickness pathogenesis, used to be very inspiring and gave new insights into destiny bioinformatics challenges.
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Extra resources for Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007. Proceedings
Journal of Computational Biology 7 (2000) 601–620 7. : Inferring subnetworks from perturbed expression proﬁles. Bioinformatics 17 (2001) S215–S224 8. : Studying the conditions for learning dynamic bayesian networks to discover genetic regulatory networks. SIMULATION 79 (2003) 689–702 9. : Mutual information relevance networks: Functional genomic clustering using pairwise entropy measurments. Paciﬁc Symposium on Biocomputing 5 (2000) 415–426 10. : Discovery of meaningful associations in genomic data using partial correlation coeﬃcients.
This method is based on Maximum Relevance – Minimum Redundancy (MRMR), an eﬀective information-theoretic technique for feature selection. MRNet is compared experimentally to Relevance Networks (RelNet) and ARACNE, two state-of-the-art information-theoretic network inference methods, on several artiﬁcial microarray datasets. The results show that MRNet is competitive with the reference information-theoretic methods on all datasets. In particular, when the assessment criterion attributes a higher weight to precision than to recall, MRNet outperforms the state-of-the-art methods.
Discovery of meaningful associations in genomic data using partial correlation coeﬃcients. Bioinformatics 20 (2004) 3565–3574 11. : An empirical Bayes approach to inferring large-scale gene association networks. Bioinformatics 21 (2005) 754–764 12. : ARACNE: An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context. BMC Bioinformatics 7 (2006) S7 13. : Application of the mutual information criterion for feature selection in computer-aided diagnosis. Medical Physics 28 (2001) 2394 14.
Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007. Proceedings by Nicole Radde, Lars Kaderali (auth.), Sepp Hochreiter, Roland Wagner (eds.)