Yasir Rahmatallah, Ph.D.

Dr. Rahmatallah is a Bioinformatician with experience in analyzing different types of biological datasets using high-performance computing. He develops computational and statistical methods and software to detect patterns in data and link computational results with meaningful interpretations. He also applies his training in signal processing to study biomedical problems such as identifying people with Parkinson’s disease by analyzing spectrogram images of their voice samples.

Publications

• 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;13(1):20615. doi: 10.1038/s41598-023-47568-w. PMID: 37996478; PMCID: PMC10667335.
• Rahmatallah Y, Zybailov B, Emmert-Streib F, Glazko G. GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinformatics. 2017;18(1):61. doi: 10.1186/s12859-017-1482-6. PMID: 28118818; PMCID: PMC5259853.
• Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Brief Bioinform. 2016;17(3):393-407. doi: 10.1093/bib/bbv069. PMID: 26342128; PMCID: PMC4870397.
• Rahmatallah Y, Emmert-Streib F, Glazko G. Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. Bioinformatics. 2014;30(3):360-8. doi: 10.1093/bioinformatics/btt687. PMID: 24292935; PMCID: PMC4023302.

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