Bioinforomics: Introduction to Systems Bioinformatics

Learn about methods and techniques in the field of application of bioinformatics in systems biology and systems pharmacology.

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

• License