Author

Jaymala Patel

Johnson & Johnson (United States)ORCID 0000-0002-0232-2260Unclaimed 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:benchmarking· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Alex JavidiiD· 2 shared Denis A. SmirnoviD· 2 shared Enes SeneliD· 2 shared Joel GreshockiD· 2 shared Tamas Ryszard Sztanka-TothiD· 2 shared Ahmed ElnaggariD· 1 shared Karl Calara-Nielsen· 1 shared Ruoyun XiongiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Alex JavidiORCID

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2 papers

Recent·Most cited

Benchmarking single-cell foundation models for real-world RNA-seq data integration

Siyu Han, Tamas Ryszard Sztanka-Toth, Enes Senel, Ahmed Elnaggar, Jaymala Patel, Tommaso Mansi, Denis A. Smirnov, Joel Greshock, Alex Javidi

This study benchmarks single-cell foundation models for data integration using real-world RNA-seq data and finds that fine-tuned scGPT_CP performs best in technical correction while scVI is the top overall performer.

bioRxiv · Apr 21, 2026 · PreprintBioinformatics

Benchmarking Next-Generation Sequencing Platforms: A Comprehensive Comparison Of Single-Cell RNA-Seq from Ultima UG 100 vs. Illumina NovaSeq X Plus

Ruoyun Xiong, Jaymala Patel, Tamas Ryszard Sztanka-Toth, Enes Senel, Karl Calara-Nielsen, Yashoda Rani Rajpurohit, Tom Altenburg, Joel Greshock, Denis A. Smirnov, Alex Javidi

This study compares the performance of Ultima UG 100 and Illumina NovaSeq X Plus platforms for single-cell RNA sequencing, finding comparable results in cell type identification and gene expression.

bioRxiv · Jan 20, 2026 · PreprintBioinformatics