5 citations · 5 across the 4 of their papers we have counts for
5 papers
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification
Sathyanarayanan Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy +1
A species' genetic code or genome encodes valuable evolutionary, biological, and phylogenetic information that aids in species recognition, taxonomic classification, and understand…
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy +3
Next-generation sequencing technologies have enhanced the scope of Internet-of-Things (IoT) to include genomics for personalized medicine through the increased availability of an a…
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla +4
Advances in next-generation metagenome sequencing have the potential to revolutionize the point-of-care diagnosis of novel pathogen infections, which could help prevent potential w…
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla +3
The emergence of novel pathogens and zoonotic diseases like the SARS-CoV-2 have underlined the need for developing novel diagnosis and intervention pipelines that can learn rapidly…
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur +1
Bovine Respiratory Disease Complex (BRDC) is a complex respiratory disease in cattle with multiple etiologies, including bacterial and viral. It is estimated that mortality, morbid…