#DATASCIENCE OMICS-2020

The rapid growth of high-throughput data, including -omics technologies, gave rise to significant demand for data science skills and experience with bioinformatics methods of analysis. To help introduce biologists, clinicians, and students to cutting edge bioinformatics methods and commonly used data science concepts, our team designed an online bioinformatics training program called OmicsLogic. This online summer program is designed for Data science beginners 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 during this 2-weeks intensive Training program.

Upcoming Events

  1. 03
    August
    Introduction to data types and properties
    10:00 - 11:00
    Online

    In the first session of #DataScience Omics2020, we will discuss about the following: Overview of commonly used Omics data – NGS, Mass-Spec, phenotypic data...

  2. 04
    August
    Big Data Challenges and Opportunities
    10:00 - 11:00
    Online

    In the second session of #DataScience Omics2020, we will discuss about the following: Availability and variability of data and associated technologies for generating such...

  3. 05
    August
    Cleaning, Loading and Processing data
    10:00 - 11:00
    Online

    In the third session of #DataScience Omics2020, we will discuss about the following: Analysis logic: from raw reads to a table of expression (RNA-seq...

  4. 06
    August
    Exploratory data analysis: summary and visualization
    10:00 - 11:00
    Online

    In the fourth session of #DataScience Omics2020, we will discuss about the following: Summary statistics (histogram, boxplot, scatterplot of 2 samples compared to each...

  5. 07
    August
    Hands-on: handling large and complex datasets
    10:00 - 11:00
    Online

    In the fifth session of #DataScience Omics2020, we will discuss about the following: Learn how to make statistical representations of the data and how...

  6. 10
    August
    Machine Learning and Artificial Intelligence
    10:00 - 11:00
    Online

    In the sixth session of #DataScience Omics2020, we will discuss about the following: Hypothesis testing 101: compare conditions and find p-valueData driven discovery: discover...

  7. 11
    August
    Unsupervised Learning: dimensionality reduction and clustering
    10:00 - 11:00
    Online

    In the seventh session of #DataScience Omics2020, we will discuss about the following: Identifying patterns and LearningNeed for data miningOverview and examples: PCA, k-means,...

  8. 12
    August
    Supervised Machine Learning: classification and feature selection
    10:00 - 11:00
    Online

    In the eighth session of #DataScience Omics2020, we will discuss about the following: Conceptual introduction: Known sample data is used to train the computer...

  9. 13
    August
    Model accuracy and validation
    10:00 - 11:00
    Online

    In the ninth session of #DataScience Omics2020, we will discuss about the following: Technical accuracy (ROC curve, AUC)Logical or biological relevance (compare feature selection...

  10. 14
    August
    ML in production – getting results with ML
    10:00 - 11:00
    Online

    In the tenth session of #DataScience Omics2020, we will discuss about the following: The interaction between artificial intelligence and human Differences between ML and AIIn...

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#DATASCIENCE OMICS-2020
$150.00
30 Days

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The rapid growth of high-throughput data, including -omics technologies, gave rise to significant demand for data science skills and experience with bioinformatics methods of analysis. To help introduce biologists, clinicians, and students to cutting edge bioinformatics methods and commonly used data science concepts, our team designed an online bioinformatics training program called OmicsLogic. This online summer program is designed for Data science beginners 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 during this 2-weeks intensive Training program.
PCA: biomedical data visualization in R
Machine Learning for Biomedical Data
Patient Derived Xenograft Models
Modeling Precision Medicine
Transcriptomics 3
Transcriptomics 2
Transcriptomics 1
Introduction to Bioinformatics

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