Kayla A. Johnson

According to our database, Kayla A. Johnson authored at least 4 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata.

Hao Yuan, Parker Hicks, Mansooreh Ahmadian, Kayla A. Johnson, Lydia Valtadoros, Arjun Krishnan

Briefings Bioinform., January, 2025

2024

Joint representation of molecular networks from multiple species improves gene classification.

Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan

PLoS Comput. Biol., January, 2024

CONE: COntext-specific Network Embedding via Contextualized Graph Attention.

Renming Liu, Hao Yuan, Kayla A. Johnson, Arjun Krishnan

Proceedings of the Machine Learning in Computational Biology, 2024

2020

Supervised learning is an accurate method for network-based gene classification.

Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan

Bioinform., 2020