Yasir Rahmatallah

Associate Professor

University of Arkansas for Medical Sciences

faculty

Biomedical Informatics, College of Medicine

yrahmatallah@uams.edu

18 h-index 69 pubs 1,592 cited

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Biography and Research Information

OverviewAI-generated summary

Yasir Rahmatallah's research centers on the application of computational methods, particularly machine learning and neural networks, to address challenges in biomedical informatics and plant science. He has investigated the use of voice samples for the identification of Parkinson's disease, developing machine learning methods and utilizing pre-trained convolutional neural networks with spectrogram images. His work also extends to plant biology, where he studies the effects of plant growth-promoting bacteria on rice. This includes examining gene expression patterns in rice roots and shoots, and understanding how bacteria influence rice growth under salt stress by regulating key genes involved in stress response and nutrient transport. Rahmatallah has also conducted metagenomic analysis of rhizosphere soil bacteria in Arkansas rice crop fields. His scholarship metrics include an h-index of 18, 69 total publications, and 1,592 total citations. He has established a collaborative network with researchers at the University of Arkansas for Medical Sciences and the University of Arkansas at Little Rock.

Metrics

  • h-index: 18
  • Publications: 69
  • Citations: 1,592

Selected Publications

  • ZNF16 is a nucleolar-associated protein that regulates expression of rDNA and cancer-associated genes (2025) DOI
  • SAT-016 Musashi Contributes to the Specification and Maintenance of Distinct Pituitary Cell Lineages. (2025) DOI
  • ZNF16 is a nucleolar-associated protein that regulates expression of the rDNA and cancer-associated genes (2025) DOI
  • A Tracts of Homozygosity Approach Identifies Methylation-Regulated <i>CSMD1</i> Expression Targets in Non–Small Cell Lung Cancers Related to Smoking Behavior (2025) DOI
  • Abstract 1923: A tract of homozygosity analysis reveals methylation-driven <i>CSMD1</i> expression in non-small cell lung cancers (2025) DOI
  • Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples (2025) DOI
  • Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples (2024) DOI
  • Higher Glycolysis in Circulating Leukocytes in Patients with CKD (2024) DOI
  • Improving data interpretability with new differential sample variance gene set tests (2024) DOI
  • A machine learning method to process voice samples for identification of Parkinson’s disease (2023) DOI
  • FRI291 Musashi1 And Musashi2 Mark Distinct Pituitary Stem Cell Populations (2023) DOI
  • Azospirillum brasilense improves rice growth under salt stress by regulating the expression of key genes involved in salt stress response, abscisic acid signaling, and nutrient transport, among others (2023) DOI
  • A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023) DOI
  • Ticagrelor inhibits platelet aggregation and reduces inflammatory burden more than clopidogrel in patients with stages 4 or 5 chronic kidney disease (2023) DOI
  • Platelet-Dependent Inflammatory Dysregulation in Patients with Stages 4 or 5 Chronic Kidney Disease: A Mechanistic Clinical Study (2022) DOI

Grants & Funding

  • Epigenetic regulation of differentially expressed genes in cutaneous T-cell lymphoma VA/CAVHS Co-Investigator
  • Partnerships for Biomedical Research in Arkansas NIH Co-Investigator
  • Formation of the IDeA National Resource for Proteomics NIH/NIGMS Co-Investigator
  • Expand data science training, access to publicly available data, and computational resources within the Arkansas INBRE network NIH/NIGMS Co-Investigator
  • Platelet-Leukocyte Axis in Patients with Chronic Kidney Disease NIH/NIGMS Co-Investigator
  • Integrating Gene Expression Profiles from Different Platforms into a Robust and Clinically Relevant Prognostic and Predictive Tool for Pediatric Leukemia NIH/NIGMS Principal Investigator
  • Center for Translational Pediatric Research NIH/NIGMS Co-Investigator
  • Resources for Development and Validation of Radiomic Analyses and Adaptive Therapy NIH/NCI Co-Investigator

Collaborators

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