Author

P. Ranganathan

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

Biology Disciplines

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Cancer Biology· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

A. Abikar· 2 shared K. Ramaiah· 2 shared N. Nadig· 2 shared N. Tamboli· 2 shared D. J. S. J M· 1 shared F. Y. Parast· 1 shared K. A. Wagh· 1 shared M. M. M. Subhani· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

A. Abikar

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Author profile →

4 papers

Recent·Most cited

Elastohydrodynamic mechanisms govern beat pattern transitions in eukaryotic flagella

S. Veeraragavan, F. Y. Parast, R. Nosrati, P. Ranganathan

This paper shows that beat pattern transitions in eukaryotic flagella arise from an elastohydrodynamic mechanism, dependent on physical parameters like viscosity and flagellum stiffness.

Cell Reports Physical Science · Jul 1, 2026Peer-reviewedBiophysics

Comparative transcriptome of normal and cancer- associated fibroblasts

A. Abikar, M. M. M. Subhani, R. R. Athalye, N. Nadig, N. Tamboli, V. Babu, K. Ramaiah, P. Ranganathan

This study compares the transcriptomes of normal and cancer-associated fibroblasts to identify differentially expressed genes that could inform therapeutic strategies.

bioRxiv · Mar 18, 2024Cancer Biology

microRNA profile of endometrial cancer from Indian patients-Identification of potential biomarkers for prognosis

S. Hegde, K. A. Wagh, A. Abikar, S. Nambiar, S. Ananthamurthy, N. H. Narayana, P. V. Reddihalli, S. Chandraiah, S. M. Narayana, P. Ranganathan

This study profiles microRNAs in Indian endometrial cancer patients, identifies 16 miRNA-mRNA pairs as potential prognostic biomarkers, and compares them to TCGA data.

bioRxiv · Aug 7, 2023Cancer Biology

Gene expression signature of castrate resistant prostate cancer

D. J. S. J M, S. S. Hegde, N. Tamboli, N. Nadig, K. Ramaiah, P. Ranganathan

The paper identifies a gene expression signature for castrate resistant prostate cancer by comparing gene expression profiles across control, castrate sensitive, and castrate resistant groups using RNA-seq and TCGA data.

bioRxiv · Mar 16, 2022Cancer Biology