Daniel Habenicht Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
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Biography and Research Information
OverviewAI-generated summary
Daniel Habenicht's research centers on the application of computational methods to address health-related challenges. He has developed a deep-learning algorithm designed to classify skin lesions associated with mpox virus infection. Additionally, Habenicht contributed to the creation of a web-based application providing personalized recommendations for COVID-19 management. His work also includes investigations into fundamental biological processes, such as assessing the contributions of DNA sequences to RNA polymerase II and nucleosome occupancy in yeast.
Habenicht's scholarship metrics include an h-index of 3, with 4 total publications and 117 citations. He has collaborated with several colleagues at Hendrix College, including Heather Prowse, Sydney A. Ozersky, Brianna Hoyt, and Samuel E. Byrd, each on one shared publication.
Metrics
- h-index: 3
- Publications: 4
- Citations: 125
Selected Publications
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Assessing contributions of DNA sequences at the 3’ end of a yeast gene on yFACT, RNA polymerase II, and nucleosome occupancy (2024)
Collaboration Network
Top Collaborators
- A deep-learning algorithm to classify skin lesions from mpox virus infection
- A web-based app to provide personalized recommendations for COVID-19
- A deep-learning algorithm to classify skin lesions from mpox virus infection
- A web-based app to provide personalized recommendations for COVID-19
- A deep-learning algorithm to classify skin lesions from mpox virus infection
- A web-based app to provide personalized recommendations for COVID-19
- A deep-learning algorithm to classify skin lesions from mpox virus infection
- A web-based app to provide personalized recommendations for COVID-19
- SyncMesh
- SyncMesh
- SyncMesh
- SyncMesh
- SyncMesh
- A web-based app to provide personalized recommendations for COVID-19
- A web-based app to provide personalized recommendations for COVID-19
- A web-based app to provide personalized recommendations for COVID-19
- A web-based app to provide personalized recommendations for COVID-19
- A web-based app to provide personalized recommendations for COVID-19
- A deep-learning algorithm to classify skin lesions from mpox virus infection
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