Author

Siddhant Sunil Meshram

Indiana University BloomingtonORCID 0000-0002-0409-6375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:DNA methylation· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Arindam FadikariD· 3 shared Suvo ChatterjeeiD· 3 shared Ganesan ArunkumariD· 2 shared Arunkumar Ganesan· 1 shared Fasil Tekola AyeleiD· 1 shared Himel MallickiD· 1 shared Roger S. ZohiD· 1 shared Siyuan MaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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3 shared papersBioinformatics

Arindam FadikarORCID

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3 papers

Recent·Most cited

ReMeDy: A Flexible Statistical Framework For Region-based Detection of DNA Methylation Dysregulation

Suvo Chatterjee, Siddhant Sunil Meshram, Arunkumar Ganesan, Fasil Tekola Ayele, Arindam Fadikar

ReMeDy identifies differentially methylated regions by jointly modeling mean and variance changes in DNA methylation data, improving statistical power and biological interpretation.

Statistics in Medicine · Aug 26, 2026Peer-reviewedGenomics

A spatially-aware unsupervised pipeline to identify co-methylation regions in DNA methylation data

Siddhant Sunil Meshram, Arindam Fadikar, Ganesan Arunkumar, Suvo Chatterjee

This paper introduces SACOMA, a spatially-aware unsupervised method to identify co-methylated regions in DNA methylation data, improving sensitivity and false-positive control.

bioRxiv · Nov 13, 2025 · PreprintBioinformatics

Group Heteroscedasticity - A Silent Saboteur of Power and False Discovery in RNA-Seq Differential Expression

Suvo Chatterjee, Arindam Fadikar, Vrushab Hanumesh, Siddhant Sunil Meshram, Roger S. Zoh, Siyuan Ma, Ganesan Arunkumar, Himel Mallick

This paper introduces Robseq, a statistical model for RNA-Seq differential expression that addresses FDR inflation caused by group heteroscedasticity, showing improved control of false discovery and type-I error rates.

bioRxiv · Apr 1, 2024 · PreprintBioinformatics