Alboukadel Kassambara

About: Alboukadel Kassambara

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  • Role : Founder of Datanovia
  • Website : https://www.datanovia.com/en
  • Experience : >10 years
  • Specialist in : Bioinformatics and Cancer Biology
Topics Handling
Course Name Lesson Name Complexity Length
Inter-Rater Reliability Measures in R Inter-Rater Reliability Analyses: Quick R Codes 10 mins
Inter-Rater Reliability Measures in R Inter-Rater Agreement Chart in R 10 mins
Inter-Rater Reliability Measures in R Intraclass Correlation Coefficient in R 15 mins
Inter-Rater Reliability Measures in R Fleiss' Kappa in R: For Multiple Categorical Variables 15 mins
Inter-Rater Reliability Measures in R Weighted Kappa in R: For Two Ordinal Variables 20 mins
Inter-Rater Reliability Measures in R Cohen's Kappa in R: For Two Categorical Variables 20 mins
Inter-Rater Reliability Measures in R Introduction to R for Inter-Rater Reliability Analyses 10 mins
Data Visualization using GGPlot2 Combine Multiple GGPlots into a Figure 15 mins
Data Visualization using GGPlot2 GGPlot ECDF 10 mins
Data Visualization using GGPlot2 GGPLOT QQ Plot 10 mins
Data Visualization using GGPlot2 GGPlot Histogram 10 mins
Data Visualization using GGPlot2 GGPlot Density Plot 10 mins
Data Visualization using GGPlot2 GGPlot Error Bars 15 mins
Data Visualization using GGPlot2 GGPlot Barplot 10 mins
Data Visualization using GGPlot2 GGPlot Line Plot 15 mins
Data Visualization using GGPlot2 GGPlot Stripchart 10 mins
Data Visualization using GGPlot2 GGPlot Dot Plot 15 mins
Data Visualization using GGPlot2 GGPlot Violin Plot 10 mins
Data Visualization using GGPlot2 GGPlot Boxplot 15 mins
Data Visualization using GGPlot2 GGPlot Scatter Plot 15 mins
Data Visualization using GGPlot2 Introduction to GGPlot2 20 mins
Advanced Clustering cmeans() R function: Compute Fuzzy clustering 15 mins
Advanced Clustering Fuzzy C-Means Clustering Algorithm 10 mins
Advanced Clustering DBSCAN: Density-Based Clustering Essentials 30 mins
Advanced Clustering Model Based Clustering Essentials 30 mins
Advanced Clustering Fuzzy Clustering Essentials 15 mins
Advanced Clustering Hierarchical K-Means Clustering: Optimize Clusters 10 mins
Cluster Validation Essentials Computing P-value for Hierarchical Clustering 15 mins
Cluster Validation Essentials Choosing the Best Clustering Algorithms 15 mins
Cluster Validation Essentials Cluster Validation Statistics: Must Know Methods 30 mins
Cluster Validation Essentials Determining The Optimal Number Of Clusters: 3 Must Know Methods 30 mins
Cluster Validation Essentials Assessing Clustering Tendency 30 mins
Hierarchical Clustering in R: The Essentials Heatmap in R: Static and Interactive Visualization 35 mins
Hierarchical Clustering in R: The Essentials Examples of Dendrograms Visualization 30 mins
Hierarchical Clustering in R: The Essentials Comparing Cluster Dendrograms in R 20 mins
Hierarchical Clustering in R: The Essentials Divisive Hierarchical Clustering 5 mins
Hierarchical Clustering in R: The Essentials Agglomerative Hierarchical Clustering 30 mins
Partitional Clustering in R: The Essentials CLARA in R : Clustering Large Applications 35 mins
Partitional Clustering in R: The Essentials K-Medoids in R: Algorithm and Practical Examples 35 mins
Partitional Clustering in R: The Essentials K-Means Clustering in R: Algorithm and Practical Examples 50 mins
Data Clustering Basics Cluster Analysis Example: Quick Start R Code 20 mins
Data Clustering Basics Clustering Distance Measures 35 mins
Data Clustering Basics Data Preparation and R Packages for Cluster Analysis 5 mins
Data Manipulation in R Compute Summary Statistics in R Easy 40 mins
Data Manipulation in R Compute and Add new Variables to a Data Frame in R Hard 30 mins
Data Manipulation in R Rename Data Frame Columns in R Easy 20 mins
Data Manipulation in R Reorder Data Frame Rows in R Easy 30 mins
Data Manipulation in R Identify and Remove Duplicate Data in R Easy 30 mins
Data Manipulation in R Subset Data Frame Rows in R Easy 50 mins
Data Manipulation in R Select Data Frame Columns in R Easy 40 mins

Alboukadel Kassambara is a PhD in Bioinformatics and Cancer Biology. He works since many years on genomic data analysis and visualization.

He is the author of:

1) the bioinformatics tool named GenomicScape, an easy-to-use web tool for gene expression data analysis and visualization.

2) the Datanovia website, which contains many courses and tutorials on data data mining and statistics for decision supports.

3) many popular R packages for multivariate data analysis, survival analysis, correlation matrix visualization and basic data visualization (https://rpkgs.datanovia.com/).

4) many books on data analysis, visualization and machine learning.

He has experiences in statistical and computational methods to identify prognostic and predictive biomarker signatures through integrative analysis of large-scale genomic and clinical data sets.

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