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BIG Bioinformatics

computational biologyR programmingdata science

BIG Bioinformatics is a team of students who want to make computational biology available to all. Please visit our website to learn more: www.bigbioinformatics.org


R for Biomedical Researchers (IBMS Workshop - Part IV)
R for Biomedical Researchers (IBMS Workshop - Part IV)
The Tidyverse (IBMS Workshop - Part III)
The Tidyverse (IBMS Workshop - Part III)
Module #10: Leukemia Project Prt II
Module #10: Leukemia Project Prt II
R for Biologists (IBMS Workshop - Part II)
R for Biologists (IBMS Workshop - Part II)
R for Biologists (IBMS Workshop - Part I)
R for Biologists (IBMS Workshop - Part I)
Module #9: Leukemia Project Prt I
Module #9: Leukemia Project Prt I
Module #8: Regression
Module #8: Regression
Module #7: Classification
Module #7: Classification
Module #6: Feature Selection and Parsimony
Module #6: Feature Selection and Parsimony
Module #5: Getting to know your data
Module #5: Getting to know your data
Module #4: Review Week (and homework answers)
Module #4: Review Week (and homework answers)
Module #3: Python for Data Science
Module #3: Python for Data Science
Module #2: Intermediate Python
Module #2: Intermediate Python
Module #1: Orientation and Introductory Python
Module #1: Orientation and Introductory Python
R for Biologists (Module #6)
R for Biologists (Module #6)
Finding predictive biomarkers in MAPK-driven gliomas
Finding predictive biomarkers in MAPK-driven gliomas
The Tidyverse (Module #5)
The Tidyverse (Module #5)
Ceci n'est pas une pipe (R Pipes)
Ceci n'est pas une pipe (R Pipes)
R Programming Review (Module #4)
R Programming Review (Module #4)
Beyond Gene Expression (Week #12)
Beyond Gene Expression (Week #12)
R Programming (Module #3)
R Programming (Module #3)
Data Structures in R (Module #2)
Data Structures in R (Module #2)
Advanced Topics II (Module #6)
Advanced Topics II (Module #6)
Simplify your life with R Projects
Simplify your life with R Projects
Advanced Topics in scRNA-Seq (Module #5)
Advanced Topics in scRNA-Seq (Module #5)
Parallelization in R
Parallelization in R
Biological Interpretation of scRNA-Seq Results (Module #4)
Biological Interpretation of scRNA-Seq Results (Module #4)
Uncovering Dataset Structure (Module #3)
Uncovering Dataset Structure (Module #3)
Orientation and Setting up R (Module #1)
Orientation and Setting up R (Module #1)
scRNA-Seq data preparation (Module #2)
scRNA-Seq data preparation (Module #2)
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