Comparative Gene-Expression Analysis I: Hybridization-based techniques (0316)

Index

00:00 1.
Decide Which Genes are Significantly Regulated ?
03:17 2.
Decide Which Genes are Significantly Regulated ?
10:14 3.
Decide Which Genes are Significantly Regulated ?
13:21 4.
Decide Which Genes are Significantly Regulated ?
16:59 5.
Statistical Distribution
20:56 6.
Decide Which Genes are Significantly Regulated ?
26:57 7.
Question
29:43 8.
Decide which genes are significantly regulated ?3
35:23 9.
Permutation test
37:12 10.
QuestionWhat is F-test? Mann–Whitney tests Kruskal–Wallis tests Analysis of Variance Permutation test
37:50 11.
Concept of Biostatistics About Nominal (Categorical) Variable
43:20 12.
Concept of Biostatistics About Nominal Variable
45:47 13.
Survival Analysis
47:33 14.
Univariate Method: Kaplan-Meier Survival Curves
52:11 15.
Web Tool: Kaplan-Meier Plotter
53:20 16.
Multivariate Method: Cox Proportional Hazards
55:30 17.
Summary
57:16 18.
Clustering Analysis
1:05:24 19.
Distances Between Clusters Used For Hierarchical Clustering
1:07:44 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
1:10:24 21.
Hierarchical Clustering1
1:12:17 22.
Hierarchical Clustering2
1:15:01 23.
Partitional Algorithms: K-means / K-medians
1:19:48 24.
Partitional Algorithms: K-means / K-medians
1:21:03 25.
Partitional Algorithms: Self-Organizing Map Algorithm
1:22:07 26.
Artificial Neural Network
1:22:39 27.
The SOM Algorithm - A Summary of Steps1
1:24:13 28.
The SOM Algorithm - A Summary of Steps2
1:24:55 29.
The SOM Algorithm - A Summary of Steps3
1:26:41 30.
The SOM Algorithm - A Summary of Steps5
1:27:43 31.
Supervised Algorithm
1:29:34 32.
Support Vector Machine
1:30:26 33.
K-Nearest Neighbor (K-NN)
1:31:12 34.
Decision Trees / Random Forest

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Comment

00:00 1.
Decide Which Genes are Significantly Regulated ?
03:17 2.
Decide Which Genes are Significantly Regulated ?
10:14 3.
Decide Which Genes are Significantly Regulated ?
13:21 4.
Decide Which Genes are Significantly Regulated ?
16:59 5.
Statistical Distribution
20:56 6.
Decide Which Genes are Significantly Regulated ?
26:57 7.
Question
29:43 8.
Decide which genes are significantly regulated ?3
35:23 9.
Permutation test
37:12 10.
QuestionWhat is F-test? Mann–Whitney tests Kruskal–Wallis tests Analysis of Variance Permutation test
37:50 11.
Concept of Biostatistics About Nominal (Categorical) Variable
43:20 12.
Concept of Biostatistics About Nominal Variable
45:47 13.
Survival Analysis
47:33 14.
Univariate Method: Kaplan-Meier Survival Curves
52:11 15.
Web Tool: Kaplan-Meier Plotter
53:20 16.
Multivariate Method: Cox Proportional Hazards
55:30 17.
Summary
57:16 18.
Clustering Analysis
1:05:24 19.
Distances Between Clusters Used For Hierarchical Clustering
1:07:44 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
1:10:24 21.
Hierarchical Clustering1
1:12:17 22.
Hierarchical Clustering2
1:15:01 23.
Partitional Algorithms: K-means / K-medians
1:19:48 24.
Partitional Algorithms: K-means / K-medians
1:21:03 25.
Partitional Algorithms: Self-Organizing Map Algorithm
1:22:07 26.
Artificial Neural Network
1:22:39 27.
The SOM Algorithm - A Summary of Steps1
1:24:13 28.
The SOM Algorithm - A Summary of Steps2
1:24:55 29.
The SOM Algorithm - A Summary of Steps3
1:26:41 30.
The SOM Algorithm - A Summary of Steps5
1:27:43 31.
Supervised Algorithm
1:29:34 32.
Support Vector Machine
1:30:26 33.
K-Nearest Neighbor (K-NN)
1:31:12 34.
Decision Trees / Random Forest

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Comparative Gene-Expression Analysis I: Hybridization-based techniques (0316)

Duration: 1:33:29, Browse: 751, Last Updated: 2021-03-16

Prev Next

00:00 1.
Decide Which Genes are Significantly Regulated ?
03:17 2.
Decide Which Genes are Significantly Regulated ?
10:14 3.
Decide Which Genes are Significantly Regulated ?
13:21 4.
Decide Which Genes are Significantly Regulated ?
16:59 5.
Statistical Distribution
20:56 6.
Decide Which Genes are Significantly Regulated ?
26:57 7.
Question
29:43 8.
Decide which genes are significantly regulated ?3
35:23 9.
Permutation test
37:12 10.
QuestionWhat is F-test? Mann–Whitney tests Kruskal–Wallis tests Analysis of Variance Permutation test
37:50 11.
Concept of Biostatistics About Nominal (Categorical) Variable
43:20 12.
Concept of Biostatistics About Nominal Variable
45:47 13.
Survival Analysis
47:33 14.
Univariate Method: Kaplan-Meier Survival Curves
52:11 15.
Web Tool: Kaplan-Meier Plotter
53:20 16.
Multivariate Method: Cox Proportional Hazards
55:30 17.
Summary
57:16 18.
Clustering Analysis
1:05:24 19.
Distances Between Clusters Used For Hierarchical Clustering
1:07:44 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
1:10:24 21.
Hierarchical Clustering1
1:12:17 22.
Hierarchical Clustering2
1:15:01 23.
Partitional Algorithms: K-means / K-medians
1:19:48 24.
Partitional Algorithms: K-means / K-medians
1:21:03 25.
Partitional Algorithms: Self-Organizing Map Algorithm
1:22:07 26.
Artificial Neural Network
1:22:39 27.
The SOM Algorithm - A Summary of Steps1
1:24:13 28.
The SOM Algorithm - A Summary of Steps2
1:24:55 29.
The SOM Algorithm - A Summary of Steps3
1:26:41 30.
The SOM Algorithm - A Summary of Steps5
1:27:43 31.
Supervised Algorithm
1:29:34 32.
Support Vector Machine
1:30:26 33.
K-Nearest Neighbor (K-NN)
1:31:12 34.
Decision Trees / Random Forest

Location

Folder name

2021

Author

賴亮全

Branch

賴亮全教授

Created

2021-03-16 16:14:25

Last Updated

2021-03-16 22:36:52

Duration

1:33:29