Summary

DL has shown great promise in genomics and these methods now match or exceed the current state-of-the-art methods in a diverse array of tasks and disciplines in life sciences and biotechnology. Given this rapid rise in its applicability across broad research areas to understand the complexities of biological systems, its adoption is still low. This can be attributed to several factors, the major among them being the complexity of genomic data. In this final chapter of this book, we have seen some of the challenges and common pitfalls associated with applying DL in genomics, which reduces the effectiveness of these DL methods. Addressing these challenges and pitfalls can be hard because of the complexity of the DL methods. Often, the mistakes are very subtle, and you didn’t know that you are making them. To avoid making these simple mistakes, you must have a deep understanding of the concepts surrounding genomics and DL. One major piece of advice is that if the genomics...