13 citations · 23 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Prasad hajare, Sadia Kamal, Siddharth Krishnan +1
Computational methods to model political bias in social media involve several challenges due to heterogeneity, high-dimensional, multiple modalities, and the scale of the data. Pol…
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…