Author

Arunkumar Ganesan

University of New Mexico

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Arindam FadikariD· 1 shared Fasil Tekola AyeleiD· 1 shared Gianluca PegoraroiD· 1 shared Md Abdul Kader SagariD· 1 shared Siddhant Sunil MeshramiD· 1 shared Suvo ChatterjeeiD· 1 shared Xingcheng LiniD· 1 shared Yafan ZhangiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Arindam FadikarORCID

Mutual co-authors in cluster

Author profile →

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

R-loop Prediction Reveals Generalization Limits of DNA Foundation Models Beyond Regulatory Genomics

Yafan Zhang, Arunkumar Ganesan, Xingcheng Lin

The paper evaluates DNA foundation models' ability to predict R-loop-forming sequences, finding they perform well in some settings but struggle with cross-platform and cross-species generalization.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics

MetaChrome: An Open-Source, User-Friendly Tool for Automated Metaphase Chromosome Analysis

Md Abdul Kader Sagar, Yamini Dalal, Gianluca Pegoraro, Arunkumar Ganesan

MetaChrome automates metaphase chromosome analysis using deep learning, improving segmentation accuracy and enabling colocalization analysis of FISH signals and proteins.

Methods · Dec 29, 2025Peer-reviewedGenetics