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Yasir Rahmatallah

TitleAssistant Professor
InstitutionUniversity of Arkansas for Medical Sciences
DepartmentBiomedical Informatics, College of Medicine
Address412 Stephens Spine Center
501 Jack Stephens Drive
Mail Slot # 782
Little Rock AR 72205
Phone501-526-7814
ORCID ORCID Icon0000-0002-8176-6328 Additional info
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    Other Roles
    Associate Director, Arkansas INBRE Bioinformatics Research Support Core

    Collapse Affiliation 
    Collapse member of
    International Society for Computational Biology (ISCB)
    Institute of Electrical and Electronics Engineers (IEEE)

    Collapse Biography 
    Collapse Leadership and Administrative Roles
    Elected Member, Department of Biomedical Informatics Faculty Executive Committee (2021-present)

    Elected Member, Department of Biomedical Informatics Executive Committee (2021-present)

    Member, Department of Biomedical Informatics Curriculum Committee (2021-present)

    Member, UALR/UAMS Joint Graduate Program in Bioinformatics Admissions Committee (2018-present)

    Member, Electrical and Computer Engineering Industrial Advisory Council (ECE-IAC)–School of Engineering and Engineering Technology, UALR (2018-present)

    Member, Department of Biomedical Informatics Admissions Committee (2018-2021)

    Collapse education and training
    University of Arkansas for Medical Sciences, Little Rock, AR, USAPostdoctoral Training06/2016Bioinformatics
    University of Arkansas at Little Rock, Little Rock, AR, USAPostdoctoral Training10/2011Wireless Communications
    University of Arkansas at Little Rock, Little Rock, AR, USAPhD12/2010Applied Sciences
    Al-Nahrain University, Baghdad, IraqMS12/2002Computer Engineering
    University of Baghdad, Baghdad, IraqBS07/2000Electronics & Communications Engineering
    Collapse awards and honors
    2023Barton Pilot Grant, UAMS College of Medicine
    2022 - 2024DART Research Seed Grant, NSF Arkansas EPSCoR
    2022Best poster award for the category of Overall Content, TRI Research Day, University of Arkansas for Medical Sciences
    2020Data Science Scholars Program, UAMS Translational Research Institute
    2008 - 2010Harambee Outstanding Graduate Student Award, University of Arkansas at Little Rock
    2006Donaghey College of Information Science and Systems Engineering GPA award, University of Arkansas at Little Rock
    2002First Honors Award for high GPA in graduate program, Department of Computer Engineering, Al-Nahrain University
    2000First Honors Award for high GPA in undergraduate program, Department of Electronics & Comm. Eng., University of Baghdad

    Collapse Teaching 

    Collapse Research 
    Collapse research activities and funding
    P20GM103429 - Admin Supplement     (Lawrence Cornett)Sep 1, 2023 - Aug 31, 2025
    NIH/NIGMS
    Expand data science training, access to publicly available data, and computational resources within the Arkansas INBRE network
    Role Description: This project will expand training modules and workshops to include data science, develop course-based research experience modules for the classroom at primarily undergraduate institutions (PUIs) in the Arkansas INBRE network. It will also provide access to publicly available data and computational resources.
    Role: Co-Investigator
    P20GM103429 - Admin Supplement     (Lawrence Cornett)Sep 1, 2023 - Apr 30, 2024
    NIH/NIGMS
    Platelet-Leukocyte Axis in Patients with Chronic Kidney Disease
    Role Description: This project will investigate the potential mechanisms underlying the increased cardiovascular risk in chronic kidney disease (CKD) patients due to increased inflammation and platelet activation.
    Role: Co-Investigator
    Barton Pilot Award     (Yasir Rahmatallah)Jan 1, 2023 - Dec 31, 2023
    UAMS College of Medicine
    Phone-Collected Speech Corpus for Remote Assessment of Parkinson’s Disease
    Role Description: This pilot study aims at establishing a speech database from people with Parkinson's disease and healthy participants. The study provides acoustical features and spectrogram images of a sustained vowel sound that could be used by machine learning methods to develop biomarkers for PD.
    Role: Principal Investigator
    OIA-1946391     (Yasir Rahmatallah)Sep 1, 2022 - Aug 31, 2024
    NSF
    Machine Learning Approaches for Remote Pathological Speech Assessment for Parkinson's Disease
    Role Description: This seed research grant was funded by the DART project, sponsored by Arkansas's NSF EPSCOR program. The project will develop analysis pipelines to detect discriminative speech acoustic features between people with Parkinson's Disease and normal controls using voice recordings acquired via phone line.
    Role: Principle Investigator
    OIA     (BYRUM, STEPHANIE D)Jul 1, 2022 - Aug 31, 2023
    National Science Foundation - Pass Through: Arkansas Economic Development Commission
    Robust and Trusted Data Analytics: From Smart Curation to Socially Aware Decision Making (Area 1, Coordinated Data Science Cyber Infrastructure) Year 3
    Role: Principal Investigator
    Team Science Champion Award     (Tuhin Virmani)Jul 1, 2022 - Jun 30, 2023
    UAMS Translational Research Institute
    Comparison of different health care delivery methods in a rural underserved population of People with Parkinson's Disease
    Role Description: This intramural grant from UAMS Translational Research Institute supports team science to investigate telemedicine and healthcare delivery methods in a rural underserved population of People with Parkinson's Disease in Arkansas.
    Role: Co-Investigator
    ONCB-008-19F     (Henry Wong)Sep 1, 2021 - Aug 31, 2025
    VA/CAVHS
    Epigenetic Regulation of Differentially Expressed Genes in Cutaneous T Cell Lymphoma
    Role Description: This VA funded Clinical Merit research project explores gene expression and DNA methylation patterns associated with cutaneous T-cell lymphoma in the Veterans population.
    Role: Co-Investigator
    ACRI#037107     (RAHMATALLAH, YASIR)Oct 1, 2017 - Sep 30, 2018
    UAMS ACHRI Flow Through
    No FP attached
    Role: Principal Investigator
    P20GM121293-Pilot Subaward     (Yasir Rahmatallah)Oct 1, 2017 - Sep 30, 2018
    NIH/NIGMS
    Integrating Gene Expression Profiles from Different Platforms into a Robust and Clinically Relevant Prognostic and Predictive Tool for Pediatric Leukemia
    Role Description: This COBRE pilot project was funded by the COBRE Center for Pediatric Research. It explored computational approaches to integrate RNA-seq and microarray expression profiles of unmatched samples to find expression signatures with clinical prognostic relevance to pediatric B-cell acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) patients
    Role: Principal Investigator
    P20GM121293     (Alan Tackett)Jul 1, 2017 - Jun 30, 2022
    NIH/NIGMS
    Center for Translational Pediatric Research
    Role Description: The Arkansas Children’s Research Institute (ACRI) established a thematic, multidisciplinary research center titled the Center for Translational Pediatric Research (CTPR). This COBRE grant allowed researchers at ACRI to build a world-class, one-of-a-kind center that leveraged existing pediatric research at ACRI and cutting-edge scientific technologies to provide better care to children in Arkansas and across the nation.
    Role: Co-Investigator
    P20GM103429 - Admin Supplement     (Lawrence Cornett)May 1, 2016 - Apr 30, 2018
    NIH/NIGMS
    Formation of the IDeA National Resource for Proteomics
    Role Description: Establish the IDeA National Resource for Quantitative Proteomics to increase the ability for scientists in the 23 IDeA states and Puerto Rico, as well as other NIGMS-supported investigators across the nation, to perform innovative research by providing access to advanced quantitative proteomics platforms and staff skilled in interpreting and analyzing complex biological data.
    Role: Co-Investigator
    U01CA187013     (Fred Prior)Sep 1, 2014 - Aug 31, 2020
    NIH/NCI
    Resources for Development and Validation of Radiomic Analyses and Adaptive Therapy
    Role Description: The goal of the project is to develop and deploy software and services to drive advanced quantitative image analysis and biomarker development and provide a gateway for researchers to interrogate multi-modality datasets and mine them to create and validate novel hypotheses in cancer research.
    Role: Co-Investigator
    P20GM103429     (Lawrence Cornett)Sep 30, 2001 - Apr 30, 2025
    NIH/NIGMS
    Partnerships for Biomedical Research in Arkansas
    Role Description: The primary goal of the Arkansas IDeA Network for Biomedical Research Excellence (INBRE) is to expand biomedical research capacity in Arkansas by expanding and strengthening the biomedical research infrastructure of lead, partner, and affiliate institutions through a multidisciplinary network. The INBRE project provides research, education, and mentorship opportunities to students and faculty in primarily undergraduate institutions (PUIs) in Arkansas. Research-intensive institutions in the state (UAMS and UAF) provide scientific leadership. The INBRE program have had a profound effect on the biomedical research base in Arkansas where it created a pipeline that encourages students to choose health research careers.
    Role: Co-Investigator

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    Collapse additional bibliographic sources
    The links below are provided by the researcher to provide access to external online bibliographies that they keep independently from the Profiles System.
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions. Don't see publications published under other names? Login to add alternative names.
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    1. Iyer A, Kemp A, Rahmatallah Y, Pillai L, Glover A, Prior F, Larson-Prior L, Virmani T. A machine learning method to process voice samples for identification of Parkinson's disease. Sci Rep. 2023 Nov 23; 13(1):20615. PMID: 37996478.
      View in: PubMed
    2. Degon Z, Dixon S, Rahmatallah Y, Galloway M, Gulutzo S, Price H, Cook J, Glazko G, Mukherjee A. 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. Frontiers in Agronomy. 2023; 5:1216503.
      View Publication
    3. Jain N, Corken A, Arthur JM, Ware J, Arulprakash N, Dai J, Phadnis MA, Davis O, Rahmatallah Y, Mehta JL, Hedayati SS, Smyth S. Ticagrelor inhibits platelet aggregation and reduces inflammatory burden more than clopidogrel in patients with stages 4 or 5 chronic kidney disease. Vascul Pharmacol. 2023 02; 148:107143. PMID: 36682595.
      View in: PubMed
    4. Corken A, Ware J, Dai J, Arthur JM, Smyth S, Davis CL, Liu J, Harville TO, Phadnis MA, Mehta JL, Rahmatallah Y, Jain N. Platelet-Dependent Inflammatory Dysregulation in Patients with Stages 4 or 5 Chronic Kidney Disease: A Mechanistic Clinical Study. Kidney360. 2022 Dec 29; 3(12):2036-2047. PMID: 36591354.
      View in: PubMed
    5. Wiggins G, Thomas J, Rahmatallah Y, Deen C, Haynes A, Degon Z, Glazko G, Mukherjee A. Common gene expression patterns are observed in rice roots during associations with plant growth-promoting bacteria, Herbaspirillum seropedicae and Azospirillum brasilense. Sci Rep. 2022 05 25; 12(1):8827. PMID: 35614083.
      View in: PubMed
    6. Cook J, Degon Z, Ruiz D, Pope J, Rahmatallah Y, Mukherjee A. The plant growth-promoting bacteria, Azospirillum brasilense, induce a diverse array of genes in rice shoots and promote their growth. Plant Growth Regulation. 2022; 97:143-155.
      View Publication
    7. Oliveira C, Shakiba E, North D, McGraw M, Ballard E, Barrett-D’Amico M, Glazko G, Rahmatallah Y. 16S rRNA Gene-Based Metagenomic Analysis of Rhizosphere Soil Bacteria in Arkansas Rice Crop Fields. Agronomy. 2022; 12(1):222.
      View Publication
    8. Rosa F, Zybailov BL, Glazko GV, Rahmatallah Y, Byrum S, Mackintosh SG, Bowlin AK, Yeruva L. Milk Formula Diet Alters Bacterial and Host Protein Profile in Comparison to Human Milk Diet in Neonatal Piglet Model. Nutrients. 2021 Oct 22; 13(11). PMID: 34835974.
      View in: PubMed
    9. Karaduta O, Glazko G, Dvanajscak Z, Arthur J, Mackintosh S, Orr L, Rahmatallah Y, Yeruva L, Tackett A, Zybailov B. Resistant starch slows the progression of CKD in the 5/6 nephrectomy mouse model. Physiol Rep. 2020 10; 8(19):e14610. PMID: 33038060.
      View in: PubMed
    10. Glazko G, Zybailov B, Emmert-Streib F, Baranova A, Rahmatallah Y. Proteome-transcriptome alignment of molecular portraits achieved by self-contained gene set analysis: Consensus colon cancer subtypes case study. PLoS One. 2019; 14(8):e0221444. PMID: 31437237.
      View in: PubMed
    11. Mousavian Z, Nowzari-Dalini A, Rahmatallah Y, Masoudi-Nejad A. Differential network analysis and protein-protein interaction study reveals active protein modules in glucocorticoid resistance for infant acute lymphoblastic leukemia. Mol Med. 2019 08 01; 25(1):36. PMID: 31370801.
      View in: PubMed
    12. Thomas J, Kim HR, Rahmatallah Y, Wiggins G, Yang Q, Singh R, Glazko G, Mukherjee A. RNA-seq reveals differentially expressed genes in rice (Oryza sativa) roots during interactions with plant-growth promoting bacteria, Azospirillum brasilense. PLoS One. 2019; 14(5):e0217309. PMID: 31120967.
      View in: PubMed
    13. Zybailov BL, Glazko GV, Rahmatallah Y, Andreyev DS, McElroy T, Karaduta O, Byrum SD, Orr L, Tackett AJ, Mackintosh SG, Edmondson RD, Kieffer DA, Martin RJ, Adams SH, Vaziri ND, Arthur JM. Metaproteomics reveals potential mechanisms by which dietary resistant starch supplementation attenuates chronic kidney disease progression in rats. PLoS One. 2019; 14(1):e0199274. PMID: 30699108.
      View in: PubMed
    14. Barham C, Fil D, Byrum SD, Rahmatallah Y, Glazko G, Kiaei M. RNA-Seq Analysis of Spinal Cord Tissues from hPFN1G118V Transgenic Mouse Model of ALS at Pre-symptomatic and End-Stages of Disease. Sci Rep. 2018 09 13; 8(1):13737. PMID: 30213953.
      View in: PubMed
    15. Rahmatallah Y, Khaidakov M, Lai KK, Goyne HE, Lamps LW, Hagedorn CH, Glazko G. Platform-independent gene expression signature differentiates sessile serrated adenomas/polyps and hyperplastic polyps of the colon. BMC Med Genomics. 2017 12 28; 10(1):81. PMID: 29284484.
      View in: PubMed
    16. MacNicol MC, Cragle CE, McDaniel FK, Hardy LL, Wang Y, Arumugam K, Rahmatallah Y, Glazko GV, Wilczynska A, Childs GV, Zhou D, MacNicol AM. Evasion of regulatory phosphorylation by an alternatively spliced isoform of Musashi2. Sci Rep. 2017 09 14; 7(1):11503. PMID: 28912529.
      View in: PubMed
    17. Oliveira C, Gunderman L, Coles CA, Lochmann J, Parks M, Ballard E, Glazko G, Rahmatallah Y, Tackett AJ, Thomas DJ. 16S rRNA Gene-Based Metagenomic Analysis of Ozark Cave Bacteria. Diversity (Basel). 2017 Sep; 9(3). PMID: 29551950.
      View in: PubMed
    18. Rahmatallah Y, Zybailov B, Emmert-Streib F, Glazko G. GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinformatics. 2017 Jan 24; 18(1):61. PMID: 28118818.
      View in: PubMed
    19. Glazko G, Rahmatallah Y, Zybailov B, Emmert-Streib F. Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond. Methods Mol Biol. 2017; 1613:125-159. PMID: 28849561.
      View in: PubMed
    20. Mousavian Z, Nowzari-Dalini A, Stam RW, Rahmatallah Y, Masoudi-Nejad A. Network-based expression analysis reveals key genes related to glucocorticoid resistance in infant acute lymphoblastic leukemia. Cell Oncol (Dordr). 2017 Feb; 40(1):33-45. PMID: 27798768.
      View in: PubMed
    21. Zybailov BL, Byrd AK, Glazko GV, Rahmatallah Y, Raney KD. Protein-protein interaction analysis for functional characterization of helicases. Methods. 2016 10 01; 108:56-64. PMID: 27090004.
      View in: PubMed
    22. Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Brief Bioinform. 2016 05; 17(3):393-407. PMID: 26342128.
      View in: PubMed
    23. Rahmatallah Y, Emmert-Streib F, Glazko G. Comparative evaluation of gene set analysis approaches for RNA-Seq data. BMC Bioinformatics. 2014 Dec 05; 15:397. PMID: 25475910.
      View in: PubMed
    24. Rahmatallah Y, Emmert-Streib F, Glazko G. Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. Bioinformatics. 2014 Feb 01; 30(3):360-8. PMID: 24292935.
      View in: PubMed
    25. Yasir Rahmatallah, Nidhal Bouaynaya, and Seshadri Mohan. Bit error rate performance of companding transforms for OFDM. IEEE Transactions on Vehicular Technology. 2013; 62(8):4116-4120.
      View Publication
    26. Yasir Rahmatallah and Seshadri Mohan. Peak-to-average power ratio reduction in OFDM systems: A survey and taxonomy. IEEE Communication Surveys and Tutorials. 2013; 15(4):1567-1592.
      View Publication
    27. Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis for self-contained tests: complex null and specific alternative hypotheses. Bioinformatics. 2012 Dec 01; 28(23):3073-80. PMID: 23044539.
      View in: PubMed
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