Author

Navneet Narula

New York UniversityORCID 0000-0002-6832-3645Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Adriana HeguyiD· 2 shared Harvey Ira PassiD· 2 shared Adam D. GriesemeriD· 1 shared Alexa K. DowdelliD· 1 shared Alexandre LoupyiD· 1 shared Andre Luis MoreiraiD· 1 shared Andrew C. ChangiD· 1 shared Anna H. YeatoniD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Adriana HeguyORCID

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Author profile →

3 papers

Recent·Most cited

Uncovering genetic architecture of the heart via genetic association studies of unsupervised deep learning derived endophenotypes

Lei You, Xingzhong Zhao, Ziqian Xie, Khush A Patel, Cheng Chen, Danai Kitkungvan, Kamil Khan Mohammed, Navneet Narula, Eloisa Arbustini, Craig K. Cassidy, Jagat Narula, Degui Zhi

This study uses deep learning to derive image phenotypes from cardiac MRI and performs GWAS, identifying 323 SNPs and 628 genes associated with cardiac traits and diseases.

bioRxiv · Sep 17, 2025 · PreprintBioinformatics

Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma

Igor Dolgalev, Hua Zhou, Nina Murrell, Hortense Le, Theodore Sakellaropoulos, Nicolas Coudray, Kelsey Zhu, Varshini Vasudevaraja, Anna H. Yeaton, Chandra Goparaju, Yonghua Li, Imran Sulaiman, Jun-Chieh James Tsay, Peter Meyn, Hussein Mohamed, , Aristotelis Tsirigos

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.

Nature Communications · Nov 8, 2023Peer-reviewedBioinformatics

Integrative Multi-omic Profiling of Two Human Decedents Receiving Pig Heart Xenografts Reveals Strong Perturbations in Early Immune-Cell and Cellular Metabolism Responses.

Eloi Schmauch, Brian Piening, Bo Xia, Chenchen Zhu, Jeffrey M. Stern, Weimin Zhang, Alexa K. Dowdell, Bao‐Li Loza, Maedeh Mohebnasab, Loren A. Gragert, Karen Khalil, Brendan R. Camellato, Michelli F. Oliveira, Darragh Patrick O'Brien, Elaina P. Weldon, , Brendan J. Keating

The paper analyzes multi-omic data from two pig heart xenografts in human decedents to identify immune and metabolic responses associated with rejection and injury.

bioRxiv · Jun 5, 2023 · PreprintSystems Biology