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33## Course description
44
5- - https://www.cecam.org/workshop-details/1465
5+ - [ Description provided in the course registration page ] ( https://www.cecam.org/workshop-details/1465 )
66
77## Workshop structure and link to learning materials
88
9+ ### Module 1
10+
911| Day | Topics |
1012| --- | -------------------------------------------------------------------------------------------------------------- |
1113| | |
12- | 1 | [ NumPy: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/ ) |
13- | 2 | [ Pandas: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/ ) |
14- | | |
15- | 1 | [ Introduction to Module 2] ( https://www.cecam.org/workshop-details/1465 ) |
16- | | [ ML terminology and ML in Bioinformatics] ( Day1/0_Introduction_ml_terminology.pdf ) |
14+ | 1 | [ NumPy: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/0.Numpy_for_bioinformatics/ ) |
15+ | 2 | [ Pandas: Fundamentals] ( hhttps://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/7.Pandas_lesson%20plan/ ) |
16+
17+
18+ ### Module 2
19+
20+ - [ Introduction to Module 2] ( https://www.cecam.org/workshop-details/1465 )
21+
22+ | Day | Topics |
23+ | --- | -------------------------------------------------------------------------------------------------------------- |
24+ | 1 | [ ML terminology and ML in Bioinformatics] ( Day1/0_Introduction_ml_terminology.pdf ) |
1725| | [ Unsupervised Learning: Clustering (K-Means Clustering, Hierarchical clustering, Clustering evaluation metrics)] ( Day1/1_Unsupervised_Learning.pdf ) |
1826| | [ Unsupervised Learning: Dimensionality reduction (Principal component analysis - PCA)] ( Day1/1_Unsupervised_Learning.pdf ) |
1927| | [ Hands-on session demonstrating PCA and clustering in cancer genomics] ( https://naicno.github.io/BioNT_Module2_handson/1.PCA_n_Clustering/ ) |
Original file line number Diff line number Diff line change 66
77## Workshop structure and link to learning materials
88
9+ ### Module 1
10+
11+ - [ Introduction to Module 1] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/ )
12+
13+
14+ | Day | Topics |
15+ | --- | -------------------------------------------------------------------------------------------------------------- |
16+ | 1 | [ NumPy: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/0.Numpy_for_bioinformatics/ ) |
17+ | 2 | [ Pandas: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/7.Pandas_lesson%20plan/ ) |
18+
19+
20+ ### Module 2
21+
22+ - [ Introduction to Module 2] ( https://www.cecam.org/workshop-details/1465 )
23+
924| Day | Topics |
1025| --- | -------------------------------------------------------------------------------------------------------------- |
11- | | |
12- | 1 | [ NumPy: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/ ) |
13- | 2 | [ Pandas: Fundamentals] ( https://coderefinery.github.io/NumPy-and-Pandas-fundamentals-for-handling-biological-datasets/ ) |
14- | | |
15- | 1 | [ Introduction to Module 2] ( https://www.cecam.org/workshop-details/1465 ) |
16- | | [ ML terminology and ML in Bioinformatics] ( Day1/0_Introduction_ml_terminology.pdf ) |
26+ | 1 | [ ML terminology and ML in Bioinformatics] ( Day1/0_Introduction_ml_terminology.pdf ) |
1727| | [ Unsupervised Learning: Clustering (K-Means Clustering, Hierarchical clustering, Clustering evaluation metrics)] ( Day1/1_Unsupervised_Learning.pdf ) |
1828| | [ Unsupervised Learning: Dimensionality reduction (Principal component analysis - PCA)] ( Day1/1_Unsupervised_Learning.pdf ) |
1929| | [ Hands-on session demonstrating PCA and clustering in cancer genomics] ( https://naicno.github.io/BioNT_Module2_handson/1.PCA_n_Clustering/ ) |
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