Author

Badri Padhukasahasram

Henry Ford Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:GWAS / association mapping· 2 Research Focus:database / resource· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

L. Keoki WilliamsiD· 2 shared Adolfo CorreaiD· 1 shared Alan F. ScottiD· 1 shared Albert M. LeviniD· 1 shared Alex P. ReineriD· 1 shared Alvaro Mayorga· 1 shared Aniket Deshpande· 1 shared Antoine LizéeiD· 1 shared

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2015-2017 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

L. Keoki WilliamsORCID

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2 papers

Recent·Most cited

GenomicsScientific ReportsPeer-reviewedApr 21, 2017

Identifying tagging SNPs for African specific genetic variation from the African Diaspora Genome

H. Richard Johnston, Yi‐Juan Hu, Jingjing Gao…·Hector Ramos

The paper designs a genotyping array (ADPC) for African-specific genetic variation using whole genome sequences from the CAAPA consortium, improving GWAS for African ancestry populations.

34 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsPLOS ONEPeer-reviewedNov 30, 2015

Powerful tests for multi-marker association analysis using ensemble learning

Badri Padhukasahasram, Chandan K Reddy, L. Keoki Williams

The paper introduces ensemble learning-based tests for multi-marker association analysis, demonstrating their power and correctness using simulated data and asthma cohorts.

DOI 10.1371/journal.pone.0143489

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky