0.25
0.5
0.75
1.25
1.5
1.75
2
Min-Sum Clustering of Protein Sequences with Limited Distance Information
Published on Oct 17, 20113210 Views
We study the problem of efficiently clustering protein sequences in a limited information setting. We assume that we do not know the distances between the sequences in advance, and must query them dur
Related categories
Chapter list
Min-Sum Clustering of Protein Sequences with Limited Distance Information00:00
Outline: Motivation00:07
Motivation00:12
Growth of GenBank00:28
Clustering with Limited Information - 100:42
Clustering with Limited Information - 201:02
Clustering with Limited Information - 301:30
One Versus all Distance Queries01:53
Outline: Clustering Accuracy02:28
Accuracy02:36
Objective Functions for Clustering - 103:12
Objective Functions for Clustering - 203:39
Approximation Stability Property - 104:09
Approximation Stability Property - 205:15
Clustering with Limited Information - 405:42
Outline: Algorithm Overview and Analysis06:05
Algorithm Overview06:16
Algorithm Description06:30
Theoretic Results - 107:39
Proof Outline08:21
Min-Sum Structure08:47
Theoretic Results - 209:50
Outline: Computational Experiments10:55
Computational Experiments - 111:03
Computational Experiments - 211:48
Computational Experiments - 312:08
Computational Experiments - 412:53
Computational Experiments - 514:26
Future Directions14:55
Outline16:41
Thank you!16:45