OMICS – Introduction to data types and properties
In the first session of the Omics 2020 Data Science, we will discuss: Overview of commonly used “omics” data NGS, Mass-Spec, phenotypic data (genomics,...
Cleaning, loading and processing data (Logical steps and a practice)
In the third session of the Omics 2020 Data Science, we will discuss: Analysis logic: from raw reads to a table of expression (RNA-seq example)...
Exploratory data analysis: data summary and effective visualization
In the fourth session of the Omics 2020 Data Science, we will discuss: Summary statistics (histogram, boxplot, a scatterplot of 2 samples compared to each...
Hands-on: handling large and complex data (data properties, statistical summary and preparation for analysis)
In the fifth session of the Omics 2020 Data Science, we will discuss: Learn how to make statistical representations of the data and how to...
Introduction to Machine Learning (ML) and Artificial Intelligence (AI)
In the sixth session of the Omics 2020 Data Science, we will discuss: Hypothesis testing 101: compare conditions and find the p-value Data-driven discovery: discover...
Unsupervised Machine Learning: dimensionality reduction and clustering
In the seventh session of the Omics 2020 Data Science, we will discuss: Finding patterns in the data and methods of data mining. PCA, k-means,...
Supervised Machine Learning: classification and feature selection
In the eighth session of the Omics 2020 Data Science, we will discuss: Conceptual Introduction: Known sample data is used to train the computer to...
Model accuracy and validation (evaluation of accuracy from a computational and biological standpoint)
In the ninth session of the Omics 2020 Data Science, we will discuss: Technical accuracy (ROC curve) Logical or biological relevance (compare feature selection with...
ML in production – getting results with ML
In the tenth session of the Omics 2020 Data Science, we will discuss: The interaction between artificial intelligence and human Differences between ML and AI...
Big Data Challenges and Opportunities (conceptual and computational)
In the second session of the Omics 2020 Data Science, we will discuss: Availability and variability of data Unprecedented Detail and volume Data heterogeneity,...
Processing Next Generation Sequencing Data
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