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Bioinforomics- Introduction to Systems Bioinformatics
Bioinforomics: Introduction to Systems Bioinformatics
Introduction
About the book
Table of Contents
Chapter 1 - Introduction to Bioinformatics
Chapter 2 - Introduction to Programming
Chapter 3 - Jupyter Notebooks and Appyters
Chapter 4 - Distributed Version Control (Git/GitHub)
Chapter 5 - Cloud Computing
Chapter 6 - RNA-seq Analysis
Chapter 7 - Data Normalization
Chapter 8 - Dimensionality Reduction
Chapter 9 - Clustering
Chapter 10 - Text Mining
Chapter 11 - Differential Expression
Chapter 12 - Enrichment Analysis
Chapter 13 - Benchmarking Tools and Algorithms
Chapter 14 - Network Analysis
Chapter 15 - Knowledge Graphs
Chapter 15.1 - Introduction to Graph Databases and NEO4j
Chapter 15.2 - Setting up NEO4j
Chapter 16 - Introduction to Machine Learning
Chapter 16.1a - Introduction to Machine Learning
Chapter 16.1b - Machine Learning Practicum
Chapter 16.2a - Introduction to Deep Learning
Chapter 16.2b - Deep Learning Practicum
Chapter 17 - Omics Integration
Chapter 18 - Complex Systems
Community
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Index
