108 citations · 161 across the 6 of their papers we have counts for
6 papers
MEDFORD in a Box: Improvements and Future Directions for a Metadata Description Language
Polina Shpilker, Benjamin Stubbs, Michael Sayers +6
Scientific research metadata is vital to ensure the validity, reusability, and cost-effectiveness of research efforts. The MEDFORD metadata language was previously introduced to si…
Current and future directions in network biology
Marinka Zitnik, Michelle M. Li, Aydin Wells +34
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseas…
MEDFORD: A human and machine readable metadata markup language
Polina Shpilker, John Freeman, Hailey McKelvie +7
Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical,…
Cognitive cascades: How to model (and potentially counter) the spread of fake news
Nicholas Rabb, Lenore Cowen, Jan P. de Ruiter +1
Understanding the spread of false or dangerous beliefs through a population has never seemed so urgent. Network science researchers have often taken a page from epidemiologists, an…
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks
Lenore Cowen, Kapil Devkota, Xiaozhe Hu +2
Data-dependent metrics are powerful tools for learning the underlying structure of high-dimensional data. This article develops and analyzes a data-dependent metric known as diffus…
Remote Homology Detection in Proteins Using Graphical Models
Noah M. Daniels
Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and fun…