AM
Arunabha Majumdar
Indian Institute of Technology Hyderabad, University of California Los Angeles, University of California San Francisco
0000-0002-5609-075X
About
I am a biostatistician primarily interested in developing statistical methods for genetic data analysis. I am also interested in working on statistical problems which arise from analyzing complex biological data. Currently, I am an Assistant Professor in the Department of Mathematics at the Indian Institute of Technology (IIT) Hyderabad.
Employment
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Indian Institute of Technology Hyderabad Assistant Professor2021 - Present
Education
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University of California Los Angeles Post doc2017 - 2020
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University of California San Francisco Post doc2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- A Multi‐Phenotype Approach to Joint Testing of Main Genetic and Gene‐Environment Interaction Effects Save
- Comprehensive benchmarking of CNN-based tumor segmentation methods using multimodal MRI data Save
- A Bayesian method for estimating gene‐level polygenicity under the framework of transcriptome‐wide association study Save
- A method to adjust for the uncertainty of predicted expression in transcriptome-wide association study Save
- Testing Equality of Multiple Population Means under Contaminated Normal Model Using the Density Power Divergence Save
- Competing analytical strategies of combining associated SNPs for estimating genetic risks. Save
- Leveraging eQTLs to identify individual-level tissue of interest for a complex trait Save
- Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies Save
- A two-step approach to testing overall effect of gene–environment interaction for multiple phenotypes Save
- A summary-statistics-based approach to examine the role of serotonin transporter promoter tandem repeat polymorphism in psychiatric phenotypes Save