Challenges working with genomics datasets
Genomics is the study of the genetic constitution of a whole organism, which are instructions for an organism to build and grow. It is now routinely possible to sequence a whole genome of organisms, thanks to next-generation sequencing (NGS) technologies. Despite easy access to genome sequencing technology, the primary challenge is the availability of these genomic datasets at scale because of technical limitations, cost, difficulty collecting more data, and so on. It is well known in the DL community that in general, the more data that DL can have access to, the more accurate the predictions are.
Not having enough data restricts the utility of the available data and limits building highly accurate DL models with it. Here are some of the problems arising from small data:
- Small data poses problems with model training and the use of trained models in real-world applications because it is prone to overfitting problems.
- Small data...
