NIPS ´08 Workshop: Machine Learning in Computational Biology

Predicting Binding Affinities of MHC Class II Epitopes Across Alleles

author:Nico Pfeifer, University of Tübingen
published: Dec. 20, 2008, recorded: December 2008, views: 89

You might be experiencing some problems with Your Video player.

Slides

Slides
0:00	MHCII
0:38	What makes the problems difficult? - 1
1:05	What makes the problems difficult? - 2
1:30	Related work - 1
1:59	Related work - 2
2:07	Roadmap: Methods
2:13	Peptide-MHCII binding affinity prediction - 1
2:27	Peptide-MHCII binding affinity prediction - 2
2:37	Peptide-MHCII binding affinity prediction - 3
3:03	Peptide-MHCII binding affinity prediction - 4
3:22	Peptide-MHCII binding affinity prediction - 5
3:37	- Questions
5:18	Multiple instance learning - 1
5:33	Multiple instance learning - 2
6:21	Multiple instance learning - 3
6:39	Normalized set kernel
7:25	Single predictor - 1
7:34	Single predictor - 2
7:47	Single predictor - 3
8:04	MHCIImulti - 1
8:22	MHCIImulti - 2
8:25	MHCIImulti - 3
8:48	MHCIImulti - 4
9:00	MHCIImulti - 5
9:10	MHCIImulti - 6
9:11	MHCIImulti - 7
9:12	MHCIImulti - 8
9:13	MHCIImulti - 9
9:14	MHCIImulti - 10
9:15	MHCIImulti - 11
9:16	MHCIImulti - 12
9:17	MHCIImulti - 13
9:27	Virtual matrices
9:37	Covering more alleles - 1
9:39	Covering more alleles - 2
10:00	Covering more alleles - 3
10:08	Covering more alleles - 4
10:29	Multitask learning - 1
11:05	Multitask learning - 2
11:14	Positionally-weighted RBF kernel - 1
11:54	Positionally-weighted RBF kernel - 2
12:06	Positionally-weighted RBF kernel - 3
12:29	Predictor which uses data from multiple alleles - 1
12:40	Predictor which uses data from multiple alleles - 2
12:45	Predictor which uses data from multiple alleles - 3
12:53	Roadmap: Results
12:56	Benchmark - 1
13:09	Benchmark - 2
13:19	Benchmark - 3
13:58	Benchmark - 4
14:02	Comparison - 1
14:59	Comparison - 2
15:14	Leave-One-Allele-Out (LOAO) prediction - 1
16:22	Leave-One-Allele-Out (LOAO) prediction - 2
16:51	Leave-One-Allele-Out (LOAO) prediction - 3
17:12	Comparison - 3
17:31	Summary - 1
17:44	Summary - 2
17:52	Summary - 3
18:02	Summary - 4
18:12	Thanks
18:56	- Questions

Related content

Visitors who watched this lecture also watched...