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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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Review: Data Preparation 36 minLecture1.2
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Review: PCA 42 minLecture1.3
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Transcriptomics 3 Quiz 1 9 questionsQuiz1.1
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Clustering: Unsupervised Analysis 6
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Clustering: Unsupervised Analysis 20 minLecture2.1
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Hierarchical clustering 10 minLecture2.2
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H-Clust Pipeline 40 minLecture2.3
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k-Means Clustering 22 minLecture2.4
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k-Means PipelineLecture2.5
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Assignment 1: Clustering 3 daysAssignment2.1
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Classification: Supervised Analysis 5
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Classification 01 hour 43 minLecture3.1
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Feature Selection 26 minLecture3.2
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Assignment 2: Evaluating Classification after Feature Selection 3 daysAssignment3.1
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Biological Annotation of Most Informative GenesLecture3.3
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Transcriptomics 3 Quiz 2 10 questionsQuiz3.1
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Conclusion 3
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Technical Details on MethodsLecture4.1
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Conclusion and ReviewLecture4.2
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Assignment 3: Course Feedback 3 daysAssignment4.1
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Feature Selection
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6 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.
Really good courses with good expertise in Bioinformatics. Learned about many areas for data analysis and was able to understand the concepts with hands on experience.
Really good courses with good expertise in Bioinformatics. Learned about many areas for data analysis and was able to understand the concepts with hands on experience using T – Bioplatform.