John Talburt Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Professor

University of Arkansas at Little Rock

faculty

1 h-index 6 pubs 6 cited

Research Areas

Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Dementia and Cognitive Impairment Research Natural Language Processing Techniques Molecular Biology Techniques and Applications Advanced Neural Network Applications

Links

ORCID Research Group

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

John Talburt's research focuses on the application of computational methods to complex biological and data-driven problems. His recent publications demonstrate work in analyzing single-cell transcriptomes to understand disease progression and therapeutic responses in conditions such as chronic myeloid leukemia and lung adenocarcinoma. He has also investigated methods for entity resolution in data, including the development of multi-agent frameworks for improved accuracy and the use of linkage context for automated correction. Further research explores qualitative approaches to extract diagnostic patterns from data, specifically in the context of cognitive impairment in Parkinson's disease.

Talburt collaborates with researchers at the University of Arkansas at Little Rock, including Mariofanna Milanova, Jialu Ma, and Mary Qu Yang, with whom he has co-authored multiple publications. His work reflects a commitment to advancing analytical techniques in areas ranging from molecular biology to artificial intelligence applications in diagnostics.

Metrics

  • h-index: 1
  • Publications: 6
  • Citations: 6

Selected Publications

  • Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction (2025) DOI
  • A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease (2025) DOI
  • Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression (2025) DOI
  • Using Linkage Context for Automated Correction in Unsupervised Entity Resolution (2025) DOI
  • Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia (2022) DOI

Collaborators

Researchers in the database who share publications

Mariofanna Milanova University of Arkansas at Little Rock 2 shared publications Jialu Ma University of Arkansas at Little Rock 2 shared publications Mary Qu Yang University of Arkansas at Little Rock 2 shared publications Mert Can Çakmak University of Arkansas at Little Rock 1 shared publication Fumiko Kobayashi University of Arkansas at Little Rock 1 shared publication Linda Larson‐Prior University of Arkansas for Medical Sciences 1 shared publication Tuhin Virmani University of Arkansas for Medical Sciences 1 shared publication Rohit Dhall University of Arkansas for Medical Sciences 1 shared publication

Similar Researchers

Based on overlapping research topics

Leihong Wu National Center for Toxicological Research
Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Natural Language Processing Techniques
Good match 4 shared topics
Penelope Duerken-Hughes National Center for Toxicological Research
Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications
Good match 3 shared topics
H. W. Hays University of Arkansas at Fayetteville
Bioinformatics and Genomic Networks Natural Language Processing Techniques Molecular Biology Techniques and Applications
Good match 4 shared topics
Shaymaa Al‐Shukri University of Arkansas for Medical Sciences
Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Natural Language Processing Techniques
Good match 3 shared topics
Galina Glazko University of Arkansas for Medical Sciences
Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Natural Language Processing Techniques
Good match 4 shared topics
Tolga Ensarı Arkansas Tech University
Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Natural Language Processing Techniques
Good match 4 shared topics