- Genomics and Phylogenetic Studies
- Genetics, Bioinformatics, and Biomedical Research
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
University of Delhi
2023
Combining genomics with digital healthcare information is set to transform per- sonalized medicine. However, this integration challenging due the differing nature of data modalities. The large size genome makes it impossible store as part standard electronic health record (EHR) system. Rep- resenting a condensed representation containing biomarkers and usable features required make interoperable EHR data. This systematic review examines both conventional state-of-the-art methods for language...
Abstract The emerging field of Genome-NLP (Natural Language Processing) aims to analyse biological sequence data using machine learning (ML), offering significant advancements in data-driven diagnostics. Three key challenges exist Genome-NLP. First, long biomolecular sequences require “tokenisation” into smaller subunits, which is non-trivial since many “words” remain unknown. Second, ML methods are highly nuanced, reducing interoperability and usability. Third, comparing models reproducing...