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Java Deep Learning Projects

You're reading from Java Deep Learning Projects

Product type Book

Published in Jun 2018

Publisher Packt

ISBN-13 9781788997454

Pages 436 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (13) Chapters

Preface

1. Getting Started with Deep Learning

2. Cancer Types Prediction Using Recurrent Type Networks

3. Multi-Label Image Classification Using Convolutional Neural Networks

4. Sentiment Analysis Using Word2Vec and LSTM Network

5. Transfer Learning for Image Classification

6. Real-Time Object Detection using YOLO, JavaCV, and DL4J

7. Stock Price Prediction Using LSTM Network

8. Distributed Deep Learning – Video Classification Using Convolutional LSTM Networks

9. Playing GridWorld Game Using Deep Reinforcement Learning

10. Developing Movie Recommendation Systems Using Factorization Machines

11. Discussion, Current Trends, and Outlook

12. Other Books You May Enjoy

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Cancer genomics dataset description

Genomics data covers all data related to DNA on living things. Although in this thesis we will also use other types of data like transcriptomic data (RNA and miRNA), for convenience purposes, all data will be termed as genomics data. Research on human genetics found a huge breakthrough in recent years due to the success of the HGP (1984-2000) on sequencing the full sequence of human DNA.

One of the areas that have been helped a lot due to this is the research of all diseases related to genetics, including cancer. Due to various biomedical analyses done on DNA, there exist various types of -omics or genomics data. Here are some types of -omics data that were crucial to cancer analysis:

Raw sequencing data: This corresponds to the DNA coding of whole chromosomes. In general, every human has 24 types of chromosomes in each cell of their body,...

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