Omics2020 Data Science

Omics2020 Data Science course was designed for iResearch Institute participants with Pine Biotech and Science Coach. This online summer course is designed for high school students interested in data-driven research questions. The program will include aspects of data science, such as data wrangling, visualization, statistical analysis and machine learning. The methods will be reviewed in the context of biomedical and other scientific problems students will study.

Upcoming Events

  1. 06
    July
    OMICS – Introduction to data types and properties
    14:00 - 15:00
    Online

    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,...

  2. 07
    July
    Big Data Challenges and Opportunities (conceptual and computational)
    14:00 - 15:00
    Online

    In the second session of the Omics 2020 Data Science, we will discuss: Availability and variability of data  Unprecedented Detail and volume Data heterogeneity,...

  3. 08
    July
    Cleaning, loading and processing data (Logical steps and a practice)
    14:00 - 15:00
    Online

    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)...

  4. 09
    July
    Exploratory data analysis: data summary and effective visualization
    14:00 - 15:00
    Online

    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...

  5. 10
    July
    Hands-on: handling large and complex data (data properties, statistical summary and preparation for analysis)
    14:00 - 15:00
    Online

    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...

  6. 13
    July
    Introduction to Machine Learning (ML) and Artificial Intelligence (AI)
    14:00 - 15:00
    Online

    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...

  7. 14
    July
    Unsupervised Machine Learning: dimensionality reduction and clustering
    14:00 - 15:00
    Online

    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,...

  8. 15
    July
    Supervised Machine Learning: classification and feature selection
    14:00 - 15:00
    Online

    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...

  9. 16
    July
    Model accuracy and validation (evaluation of accuracy from a computational and biological standpoint)
    14:00 - 15:00
    Online

    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...

  10. 17
    July
    ML in production – getting results with ML
    14:00 - 15:00
    Online

    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...

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Module 9: Tools for Analysis

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