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Biostatistics Seminar Series: 6/22, Monday at 2 P.M, “HIV-Associated Neurocognitive Disorder (HAND) Biomarker Identification with Significance Analysis of Microarrays and Random Forest Analysis”


Dear Colleagues,

The Division of Biostatistics at the Department of Preventive Medicine invites you to attend the following seminar.


Time: June 22nd  at 2 P.M.

Presenter: Dr. Hansapani Rodrigo (University of Texas Rio Grande Valley)

Title: “HIV-Associated Neurocognitive Disorder (HAND) Biomarker Identification with Significance Analysis of Microarrays and Random Forest Analysis”

Abstract: Genome-wide screening of transcription regulation in brain tissue helps in identifying substantial abnormalities present in patients’ gene transcripts and to discover possible biomarkers for HIV Associated Neurological Disorders (HAND). This study explores the possibility of identifying differentially expressed (DE) genes, which can serve as potential biomarkers to detect HAND. In this regard, gene expression levels of three subject groups with different impairment levels of HAND along with a control group in three distinct brain sectors: white matter, frontal cortex, and basal ganglia have been investigated and compared using multiple statistical analysis methods including Significance Analysis of Microarrays (SAM) and random forests (RF). In fact, two aspects of gene expressions have been investigated; single-gene and sub-gene network effects, where the latter model accounts for the co-regulation, and interrelations among genes. The sub-gene network RF model incorporates prior biological information into account and hence has widened the path in the exploration of DE genes.

This study has shed light on new sets of genes including CIRBP, RBM3, GPNMB, ISG15, IFIT6, IFI6, and IFIT3, which were previously undermined or undetected to be significantly expressed among the subjects with HAND either in the frontal cortex or basal ganglia. The gene, GADD45A, a protein-coding gene whose transcript levels tend to increase with stressful growth arrest conditions, was consistently ranked among the top genes by two RF models within the frontal cortex.


Speaker’s website:


ZOOM Virtual Room Connection: 

Join from PC, Mac, Linux, iOS or Android: https://tennessee.zoom.us/j/99322680124

Or iPhone one-tap (US Toll):  +16468769923,99322680124#  or +13017158592,99322680124# 

Or Telephone:


    +1 646 876 9923 (US Toll)

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    Meeting ID: 993 2268 0124

    International numbers available: https://tennessee.zoom.us/u/abNgxz4Vyw


NOTE: The host will moderate questions. Questions can be typed in the chat box at any time during the seminar, and the host will ask them or invite seminar attenders to ask others at the end of the seminar.


We look forward to seeing you all among us. 

Chi-Yang Chiu, Ph.D.

Assistant Professor of Biostatistics

Department of Preventive Medicine, UTHSC