activity
20132022
most citedEntropy-scaling search of massive biological data

68 citations · 79 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL2022

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,…

cs.LG2021

Clustered Hierarchical Anomaly and Outlier Detection Algorithms

Najib Ishaq, Thomas J. Howard, Noah M. Daniels

Anomaly and outlier detection is a long-standing problem in machine learning. In some cases, anomaly detection is easy, such as when data are drawn from well-characterized distribu…

cs.DS2019

Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data

Najib Ishaq, George Student, Noah M. Daniels

Both astronomy and biology are experiencing explosive growth of data, resulting in a "big data" problem that stands in the way of a "big data" opportunity for discovery. One common…

cs.DS2015★ 68 cited

Entropy-scaling search of massive biological data

Y. William Yu, Noah M. Daniels, David Christian Danko +1

Many datasets exhibit a well-defined structure that can be exploited to design faster search tools, but it is not always clear when such acceleration is possible. Here, we introduc…

cs.CE2013★ 11 cited

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…