9:00-9:10
Opening Remarks – Vladimir Pavlovic
9:10-9:55
Invited Talk1 – Steven
Salzberg
9:55-10:15
Paper 1 – Proteome Analyst – Transparent High throughput Protein Annotation: Function, Localization and Custom Predictors
By: Duane Szafron, Paul Lu, Pussell Greiner,
David Wishart, Zhiyong Lu, Brett Poulin, Roman Eisner, John Anvik, Cam
Macdonell
10:15-10:45
Coffee Break
10:45-11:30
Invited Talk 2 – Tommy Jaakkola
11:30-11:50
Paper 2 – Analyzing Gene Expression data using Classification rules
By: Gary Livingston, Xiao Li, Guangyi Li, Liwu Hao, Jainping Zhou
11:50-12:10
Paper 3 – Using Pictorial Structures to Identify Proteins in X-ray Crystallographic Electron density maps
By: Frank DiMaio, Jude Shavlik, George N. Phillips, Jr.
12:10-12:40
Discussion
12:40-2:00
Lunch
2:00-2:45
Invited Talk 3 – Stanley Ian Letovsky
2:45-3:05
Paper 4 – G-Protein-Coupled Receptor motif sequence analysis: Te machine learning approach
By: Durgaprasad Bollina, Rajasekhara Reddy B
3:05-3:25
Paper 5 – Gene interaction analysis using k-way interaction loglinear model: A case study on yeast data
By: Xintao Wu, Daniel Barbara, Liying Zhang, Yong Ye
3:25-4:00
Discussion
4:00-4:30
Coffee Break
4:30-5:15
Invited Talk 4 – Brendan Frey
5:15-5:35
Paper 6 – Learning to extract proteins and their interactions from medline abstracts
By: Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Raymond Mooney, Yuk Wah Wong, Edward M. Marcotte, Arun Ramani
5:35-6:00