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20 materials found

Keywords: R-programming  or statistics 


Hands-on for 'A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy' tutorial

The questions this addresses are:
- How to use Jupyterlab and it several features?
- How to use it for creating input datasets and writing artificial intelligence (AI) algorithms?

The objectives are:
- Learn to use Jupyterlab - an online Python editor designed for developing AI algorithms
...

Scientific topics: Statistics and probability

Keywords: statistics, interactive-tools, machine-learning, deep-learning, jupyter-lab, image-segmentation, protein-3D-structure

Resource type: hands-on tutorial

Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial

The questions this addresses are:
- How to predict aberrant pathway activity in The Cancer Genome Atlas (TCGA) using Machine learning approaches?

The objectives are:
- Learn to predict aberrant pathway activity using RNA-Seq data, mutational status and copy number variation data from TCGA.
...

Scientific topics: Statistics and probability

Keywords: statistics, Machine learning, Pan-cancer, cancer biomarkers, oncogenes and tumor suppressor genes

Resource type: hands-on tutorial

Hands-on for 'Regression in Machine Learning' tutorial

The questions this addresses are:
- How to use regression techniques to create predictive models from biological datasets?

The objectives are:
- Learn regression background
- Apply regression based machine learning algorithms
- Learn ageing biomarkers and predict age from DNA methylation...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Classification in Machine Learning' tutorial

The questions this addresses are:
- What is classification and how we can use classification techniques?

The objectives are:
- Learn classification background
- Learn what a quantitative structure-analysis relationship (QSAR) model is and how it can be constructed in Galaxy
- Learn to...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Text-mining with the SimText toolset' tutorial

The questions this addresses are:
- How can I automatically collect PubMed data for a set of biomedical entities such as genes?
- How can I analyze similarities among biomedical entities based on PubMed data on large-scale?

The objectives are:
- Learn how to use the SimText toolset
-...

Scientific topics: Statistics and probability

Keywords: statistics, interactive-tools

Resource type: hands-on tutorial

Hands-on for 'Machine learning: classification and regression' tutorial

The questions this addresses are:
- what are classification and regression techniques?
- How they can be used for prediction?
- How visualizations can be used to analyze predictions?

The objectives are:
- Explain the types of supervised machine learning - classification and regression.
-...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Interval-Wise Testing for omics data' tutorial

The questions this addresses are:
- How to visualize high-resolution omics data in different groups of genomic regions?
- How to evaluate differences in high-resolution omics data between groups of genomic regions?
- How to detect locations and scales at which the significant effects...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Age prediction using machine learning' tutorial

The questions this addresses are:
- How to use machine learning to create predictive models from biological datasets (RNA-seq and DNA methylation)?

The objectives are:
- Learn ageing biomarkers from RNA-seq and DNA methylation datasets
- Apply regression based machine learning algorithms
-...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Introduction to Machine Learning using R' tutorial

The questions this addresses are:
- What are the main categories in Machine Learning algorithms?
- How can I perform exploratory data analysis?
- What are the main part of a clustering process?
- How can a create a decision tree?
- How can I assess a linear regression model?

The...

Scientific topics: Statistics and probability

Keywords: statistics, interactive-tools

Resource type: hands-on tutorial

Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial

The questions this addresses are:
- How to solve an image classification problem using convolutional neural network (CNN)?

The objectives are:
- Learn how to create a CNN using Galaxy's deep learning tools
- Solve an image classification problem on fruit 360 dataset using CNN in Galaxy

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Basics of machine learning' tutorial

The questions this addresses are:
- What is machine learning?
- Why is it useful?
- What are its different approaches?

The objectives are:
- Provide the basics of machine learning and its variants.
- Learn how to do classification using the training and test data.
- Learn how to use...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Clustering in Machine Learning' tutorial

The questions this addresses are:
- How to use clustering algorithms to categorize data in different clusters

The objectives are:
- Learn clustering background
- Learn hierarchical clustering algorithm
- Learn k-means clustering algorithm
- Learn DBSCAN clustering algorithm
- Apply...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial

The questions this addresses are:
- What is a recurrent neural network (RNN)?
- What are some applications of RNN?

The objectives are:
- Understand the difference between feedforward neural networks (FNN) and RNN
- Learn various RNN types and architectures
- Learn how to create a neural...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial

The questions this addresses are:
- What is a recurrent neural network (RNN)?
- What are some applications of RNN?

The objectives are:
- Understand the difference between feedforward neural networks (FNN) and RNN
- Learn various RNN types and architectures
- Learn how to create a neural...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: slides

Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial

The questions this addresses are:
- What is a feedforward neural network (FNN)?
- What are some applications of FNN?

The objectives are:
- Understand the inspiration for neural networks
- Learn various activation functions, and classification/regression problems solved by neural networks
...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial

The questions this addresses are:
- What is a convolutional neural network (CNN)?
- What are some applications of CNN?

The objectives are:
- Understand the inspiration behind CNN and learn the CNN architecture
- Learn the convolution operation and its parameters
- Learn how to create a...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Slides for 'Convolutional neural networks (CNN) Deep Learning - Part 3' tutorial

The questions this addresses are:
- What is a convolutional neural network (CNN)?
- What are some applications of CNN?

The objectives are:
- Understand the inspiration behind CNN and learn the CNN architecture
- Learn the convolution operation and its parameters
- Learn how to create a...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: slides

Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial

The questions this addresses are:
- How to solve an image classification problem using convolutional neural network (CNN)?

The objectives are:
- Learn how to create a CNN using Galaxy's deep learning tools
- Solve an image classification problem on fruit 360 dataset using CNN in Galaxy

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: slides

Hands-on for 'Introduction to deep learning' tutorial

The questions this addresses are:
- What are deep learning and neural networks?
- Why is it useful?
- How to create a neural network architecture for classification?

The objectives are:
- Learn basic principles of deep learning
- Learn about how to create an end-to-end neural network...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: hands-on tutorial

Slides for 'Feedforward neural networks (FNN) Deep Learning - Part 1' tutorial

The questions this addresses are:
- What is a feedforward neural network (FNN)?
- What are some applications of FNN?

The objectives are:
- Understand the inspiration for neural networks
- Learn activation functions & various problems solved by neural networks
- Discuss various...

Scientific topics: Statistics and probability

Keywords: statistics

Resource type: slides