Daniel J. B. Clarke
Orcid: 0000-0003-3471-7416Affiliations:
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Fairleigh Dickinson University, Teaneck, NJ, USA
According to our database1,
Daniel J. B. Clarke
authored at least 20 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on github.com
On csauthors.net:
Bibliography
2023
GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery.
Nucleic Acids Res., July, 2023
Nucleic Acids Res., July, 2023
Database J. Biol. Databases Curation, March, 2023
2022
SigCom LINCS: data and metadata search engine for a million gene expression signatures.
Nucleic Acids Res., 2022
DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules.
BMC Bioinform., 2022
BMC Bioinform., 2022
2021
Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning.
Database J. Biol. Databases Curation, 2021
2020
LINCS Data Portal 2.0: next generation access point for perturbation-response signatures.
Nucleic Acids Res., 2020
Internet Things, 2020
2019
Capacity Building for a Cybersecurity Workforce Through Hands-on Labs for Internet-of-Things Security.
Proceedings of the National Cyber Summit, 2019
2018
eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks.
Nucleic Acids Res., 2018
Building an Open Health Data Analytics Platform: a Case Study Examining Relationships and Trends in Seniority and Performance in Healthcare Providers.
J. Heal. Informatics Res., 2018
A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A comparison of models to predict medical procedure costs from open public healthcare data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Hiding in plain sight: insights about health-care trends gained through open health data.
CoRR, 2017
An open-source framework for the interactive exploration of Big Data: Applications in understanding health care.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
A fully integrated open-source toolkit for mining healthcare big-data: architecture and applications.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016