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03:17
1.
Decide Which Genes are Significantly Regulated ?
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06:57
2.
Decide Which Genes are Significantly Regulated ?
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03:07
3.
Decide Which Genes are Significantly Regulated ?
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03:37
4.
Decide Which Genes are Significantly Regulated ?
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03:57
5.
Statistical Distribution
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06:01
6.
Decide Which Genes are Significantly Regulated ?
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02:45
7.
Question
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05:40
8.
Decide which genes are significantly regulated ?3
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01:48
9.
Permutation test
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00:38
10.
QuestionWhat is F-test? Mann–Whitney tests Kruskal–Wallis tests Analysis of Variance Permutation test
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05:29
11.
Concept of Biostatistics About Nominal (Categorical) Variable
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02:27
12.
Concept of Biostatistics About Nominal Variable
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01:46
13.
Survival Analysis
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04:37
14.
Univariate Method: Kaplan-Meier Survival Curves
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01:09
15.
Web Tool: Kaplan-Meier Plotter
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02:09
16.
Multivariate Method: Cox Proportional Hazards
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01:46
17.
Summary
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08:07
18.
Clustering Analysis
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02:19
19.
Distances Between Clusters Used For Hierarchical Clustering
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02:40
20.
Algorithm: deterministic (top-down: divisive; bottom-up: agglomerative) Compute distance matrix for all pairs of nodes (genes); Find two closest nodes Merge them into a new node with some joining method Compute distance of new node to all other nodes Rep
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01:52
21.
Hierarchical Clustering1
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02:44
22.
Hierarchical Clustering2
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04:46
23.
Partitional Algorithms: K-means / K-medians
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01:15
24.
Partitional Algorithms: K-means / K-medians
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01:04
25.
Partitional Algorithms: Self-Organizing Map Algorithm
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00:31
26.
Artificial Neural Network
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01:34
27.
The SOM Algorithm - A Summary of Steps1
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00:41
28.
The SOM Algorithm - A Summary of Steps2
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01:46
29.
The SOM Algorithm - A Summary of Steps3
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01:01
30.
The SOM Algorithm - A Summary of Steps5
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01:51
31.
Supervised Algorithm
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00:51
32.
Support Vector Machine
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00:46
33.
K-Nearest Neighbor (K-NN)
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02:16
34.
Decision Trees / Random Forest