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Data Details and Pre-Processing 4
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The Associated Study and Dataset 30 minLecture1.1
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Data Preparation 30 minLecture1.2
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Review: PCA 30 minLecture1.3
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Transcriptomics 3 Quiz 1 10 questionsQuiz1.1
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Clustering: Unsupervised Analysis 5
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Clustering: Unsupervised Analysis 10 minLecture2.1
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Hierarchical clustering 30 minLecture2.2
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H-Clust Pipeline 30 minLecture2.3
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k-Means Clustering 30 minLecture2.4
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Transcriptomics 3 Quiz 2 10 questionsQuiz2.1
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Classification: Supervised Analysis 7
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Classification 30 minLecture3.1
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Feature Selection 30 minLecture3.2
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LDA Pipeline 30 minLecture3.3
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swLDA Pipeline 30 minLecture3.4
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Biological Annotation of 17 Informative GenesLecture3.5
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SVM Pipeline 30 minLecture3.6
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ConclusionLecture3.7
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Feature Selection
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4 Comments
This course culminates into the actual algorithms which when applied sequentially gives meaningful insight from the data. The carefully curated quiz acts as a benchmark to the learning process.
Great course with so much hands-on Machine learning applications.
Brilliant!!!! experience to be gained. It’s a very nicely arranged and curated curriculum, gives a great opportunity to learn the post-processing methods for analysis of the data from the statistical concepts to machine learning algorithms. It consist of informative videos to make the concepts crystal clear for the learner and quiz is also very apt. Feeling happy to learn a lot from this course.
It was a great course. Has some good insights into different approaches one can take for grouping samples using gene expression data. Definitely recommended for a beginner.