Personal tools
You are here: Home Previous Workshops MLCB2010

mlcb-2010-program

Accepted Talk List

Friday, December 10, 2010, 07:30–18:30


Morning Sessions


Session 1,

  • 7:25-7:50

HIV-Haplotype Inference using a Constraint-based Dirichlet Process Mixture Model

Sandhya Prabhakaran

  • 7:50-8:15

De novo RNA-seq-based Genome Annotation

Jonas Behr

  • 8:15-8:40

Inferring exon junction expression from RNA-Seq data

Boyko Kakaradov

  • 8:40-09:05

Predicting Tissue-Dependent Alternative Splicing Using Bayesian Neural Networks

Hui Xiong

  • 09:05-09:20

Coffee


Session 2,

  • 9:20-10:05

Invited Talk: Orienting physical networks

  • Roded Sharan, Tel-Aviv University*

In a network orientation problem one is given a mixed graph, consisting of directed and undirected edges, and a set of source-target vertex pairs. The goal is to orient the undirected edges so that a maximum number of pairs admit a directed path from the source to the target. This problem arises in the context of analyzing physical networks of protein-protein and protein- DNA interactions. While the latter are naturally directed from a transcription factor to a gene, the direction of signal flow in protein-protein interactions is often unknown or cannot even be measured en masse. One then tries to infer this information by using causality data on pairs of genes such that the perturbation of one gene changes the expression level of the other gene. In my talk I will discuss the complexity of the problem, show approximation algorithms for several variants of it and present an efficient ILP solution for it. I will then describe the application of this algorithm to orient protein-protein interactions in yeast, improving our understanding of the structure and function of the network.

  • 10:05-10:35

Regularized Output Kernel Regression for protein-protein interaction prediction: application to link transfer and transduction

Florence d'Alché-Buc


Afternoon Sessions


Session 3,

  • 3:45-4:10

Inferring Multiple Regulation Networks

Julien Chiquet

  • 4:10-4:35

A probabilistic topic model for the analysis of blood diseases

Gerald Quon

  • 4:35-5:00

JigPheno: Semantic Feature Extraction from biological images

Theofanis Karaletsos

  • 05:00-05:15

Coffee


Session 4,

  • 5:15-5:40

A joint genotypic/phenotypic mixture model for GWAS

Anna Goldenberg

  • 5:40-6:00

Correction for Hidden Confounders in the Genetic Analysis of Gene Expression

Jennifer Listgarten

  • 6:00-6:20

Explaining Confounding Factors in eQTL Studies using a Dictionary of Latent Variables

Nicolò Fusi

  • 6:20-6:30

Discussion

Document Actions