Author

Jessica McClintock

Rutgers New Jersey Medical SchoolORCID 0000-0002-0542-9872Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Russell Taki ShinoharaiD· 2 shared William Evan JohnsoniD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Andrew A. CheniD· 1 shared Elizabeth A. HorwathiD· 1 shared Evan Holmes· 1 shared Haochang ShouiD· 1 shared Howard Fan· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Russell Taki ShinoharaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 4, 2026

ComBatFamQC: Streamlining Interactive Batch-Effect Diagnostics and Harmonization for Neuroimaging Data in R

Zheng Ren, Elizabeth A. Horwath, Siyan Wen…·Haochang Shou

ComBatFamQC provides an R package for batch-effect diagnosis and harmonization in neuroimaging data, integrating visualization, statistical tests, and harmonization methods.

DOI 10.64898/2026.07.29.741509

statistical modelbatch correction / integration

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BioinformaticsbioRxivPreprintFeb 13, 2026

Reproducible Tools and Enhanced Computational Workflows for Batch Effect Evaluation of High-Throughput Data Using BatchQC

Jessica McClintock, Jiwei Zhang, Xinzhou Ge…·Alzheimer’s Disease Neuroimaging Initiative

The paper introduces BatchQC, an R package for assessing and correcting batch effects in high-throughput data with reproducible tools and workflows.

1 citation

statistical modelbenchmark study

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