Author

Sandipan Roy

University of BathORCID 0000-0002-2898-0659Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Alex J. GibberdiD· 1 shared Matthew A. NunesiD· 1 shared Peiwen Jia· 1 shared Swati ChandnaiD· 1 shared Thomas E. BartlettiD· 1 shared Xinle TianiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Alex J. GibberdORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 15, 2026

Prediction of fMRI activity using vector autoregressive models: a comparison of sparse and low-rank approaches

Xinle Tian, Alex J. Gibberd, Sandipan Roy, Matthew A. Nunes

This paper compares sparse and low-rank approaches for predicting fMRI activity using VAR models, finding that low-rank pre-smoothing reduces prediction error and improves individual-level parameter estimation.

DOI 10.64898/2026.06.11.731556

imagingstatistical model

BioinformaticsScientific ReportsPeer-reviewedDec 8, 2021

Inference of tissue relative proportions of the breast epithelial cell types luminal progenitor, basal, and luminal mature

Thomas E. Bartlett, Peiwen Jia, Swati Chandna, Sandipan Roy

The paper quantifies luminal progenitor and other epithelial cell types in breast tissue using DNA and RNA measurements, finding elevated levels in hormone receptor negative cancers and BRCA1 mutation carriers.

6 citations

humanbulk RNA-seq