OmicsLogic DataScience

The rapid growth of high-throughput data, including -omics technologies, gave rise to a 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 program is built to explain the logic of bioinformatics analysis and allow for a user-friendly applications of bio-statistical and machine learning techniques to a variety of biomedical challenges. The online program focuses on a variety of methods applied to specific types of data (genomic, transcriptomic, metagenomic) and utilized in relevant projects sources from public domain data.

 

Upcoming Events

  1. 16
    September
    Program Overview
    09:30 - 10:30

    Session Topics: High throughput data experiments,  challenges and opportunities in biomedical research Program resources

  2. 18
    September
    Next Generation Sequencing and Omics Technologies
    09:30 - 10:30

    Session Topics: Processing NGS Data (from raw data to structured data),  Standard tools and concepts for genomics, transcriptomics, epigenomics, metagenomics. Use of NGS in...

  3. 23
    September
    Summary Statistics and Statistical Properties
    09:30 - 10:30

    Session Topics: Summary Statistics Mean, Median and Standard Deviation Histograms and Distribution

  4. 25
    September
    Data Visualization for Exploratory Analysis
    09:30 - 10:30

    Session Topics: Boxplots, Histograms, Scatterplots Distribution and Lognormal Distribution Quantile Normalization

  5. 30
    September
    Factorial Regression Analysis
    09:15 - 10:15

    Session Topics: Least error Predictive model Fitting a regression line Factorial analysis

  6. 06
    October
    Visualization and Network Analysis
    09:15 - 10:15

    Session Topics: Genome visualization Circle maps Cluster and interaction networks

  7. 07
    October
    Dimensionality Reduction
    09:30 - 10:30

    Session Topics: Curse of dimensionality Features, Objects and loadings Principal Component Analysis Improving Visual Representation of PCA using R

  8. 09
    October
    Clustering
    09:30 - 10:30

    Session Topics: Distances and boundaries  K-means, Hierarchical and DB-scan Heatmaps and Hierarchical Clustering

  9. 14
    October
    Decision Trees
    09:30 - 10:30

    Session Topics: Binary Decision Trees Random Forest Random Forest Multi-run

  10. 17
    October
    Discriminant Analysis and Classification
    09:30 - 10:30

    Session Topics: LDA, QDA, swLDA Support Vector Machines Deep Learning

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Program License

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OmicsLogic DataScience
$200.00
86 Days

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The rapid growth of high-throughput data, including -omics technologies, gave rise to a 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 program is built to explain the logic of bioinformatics analysis and allow for a user-friendly applications of bio-statistical and machine learning techniques to a variety of biomedical challenges. The online program focuses on a variety of methods applied to specific types of data (genomic, transcriptomic, metagenomic) and utilized in relevant projects sources from public domain data.  
PCA: biomedical data visualization in R
Machine Learning for Biomedical Data

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