Research to the People
  • What is Research to the People?
  • About the Data
    • What Data Do We Work With?
    • Recommended: External Data Sources
  • Hacking on the Cloud
    • Getting Set-up on Google Cloud
    • Cloud Toolbox
  • Biology-AI Toolbox
    • Overview
  • Specialized Biological Domains
    • Overview
    • Cancer Fundamentals
    • Cancer Analysis Approaches: Bio/AI
    • SVAI Research Team MVPs
  • Biological Fundamentals
    • Overview
    • Genome Analysis: The Basics
    • Proteome Analysis: The Basics
    • Transcriptome Analysis: The Basics
    • Genomic Applications
    • Transcriptomic Applications
    • Proteomic Applications
    • Multi-omics Bioinformatic Applications
  • AI fundamentals
    • Overview
    • Computational Linear Algebra Techniques
    • Machine Learning Heuristics
    • Types of Machine Learning problems: Supervised, Unsupervised, and Reinforcement Learning
    • Fundamental ML Models
    • ML Applications
    • Networks: Another type of ML topic
    • Deep Learning Fundamentals
    • You Don't Have Enough DATA
    • CNNs: An Overview
    • RNNs: An Overview
    • GANs: An overview
    • Deep Belief Networks: Deep Dive
    • Autoencoders: Deep Dive
    • DL Applications
Powered by GitBook
On this page
  1. Biological Fundamentals

Overview

Created by Lily Vittayarukskul for SVAI research community. Open to collaborators!

PreviousSVAI Research Team MVPsNextGenome Analysis: The Basics

Last updated 6 years ago

Introduction

Understanding biology leads to majority of groundbreaking insights into biomedicine. The point of this section is to get you familiar with fundamental concepts underlying many powerful approaches to better understand a particular disease or discover relevant insights -- these next few pages will basically be some crash courses. This section is by no means comprehensive and you're expected to proactively seek other external resources to get more intuition on this stuff. But don't worry, we'll share a few potentially helpful resources in the following sections.

Note that this is a really challenging domain, so definitely don't beat yourself up if you don't get it the first (few) times. Have fun learning! ​

🙂