MLCB Workshop 2009

7.45-8.10 Direct maximization of protein identifications from tandem mass spectra.

Marina Spivak, Jason Weston, Michael J. MacCoss and William Stafford Noble

8.10-8.35 Exploiting physico-chemical properties in string-kernels.

Nora Toussaint, Oliver Kohlbacher and Gunnar Rätsch

8.35-9.00 A Bayesian method for 3D reconstruction of macromolecular structure using class averages from single particle electron microscopy.

Navdeep Jaitly, Marcus Brubaker, John Rubinstein and Ryan Lilien

9.00-9.15 Coffee

9.15-9.40 vbFRET: A Bayesian approach to single-molecule forster resonance energy transfer analysis.

Jonathan Bronson and Chris Wiggins

9.40-10.05 Leveraging joint test status distribution for an optimal significance testing.

Buhm Han, Chun Ye, Ted Choi and Eleazar Eskin

10.05-10.30 Statistical methods for ultra-deep pyrosequencing of fast evolving viruses.

David Knowles and Susan Holmes

3.45-4.10 A machine learning pipeline for phenotype prediction from genotype data.

Giorgio Guzzetta, Giuseppe Jurman and Cesare Furlanello

4.10-4.35 Association mapping of traits over time using Gaussian processes.

Oliver Stegle and Karsten Borgwardt

4.35-5.00 Learning graphical model structure with sparse Bayesian factor models and process priors.

Ricardo Henao and Ole Winther

5.00-5.15 Coffee

5.15-5.40 Scalable hierarchical multitask learning in sequence biology.

Christian Widmer, Jose Leiva, Yasemin Altun and Gunnar Raetsch

5.40-6.05 Abstraction augmented Markov models.

Cornelia Caragea, Adrian Silvescu, Doina Caragea and Vasant Honavar

6.05-6.30 Discussion