Author

N. M. Krishnan

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 Plant Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

B. Panda· 4 shared A. Suresh· 2 shared G. Siddappa· 2 shared M. A. Kuriakose· 2 shared M. Pareek· 2 shared V. Palve· 2 shared B. L. James· 1 shared J. Bagwan· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersCancer Biology

B. Panda

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4 papers

Recent·Most cited

Single and multi-analyte deep learning-based analysis framework for class prediction in biological images

N. M. Krishnan, S. Kumar, U. Kumar, B. Panda

The paper develops a deep learning framework to predict analyte classes in fruit images, showing improved accuracy with multi-analyte models.

bioRxiv · Oct 13, 2022 · PreprintPlant Biology

High-risk human papillomavirus in oral cavity squamous cell carcinoma

V. Palve, J. Bagwan, N. M. Krishnan, M. Pareek, U. Chandola, A. Suresh, G. Siddappa, B. L. James, V. Kekatpure, M. A. Kuriakose, B. Panda

This study examines HPV's role in OSCC by analyzing multiple assays and molecular markers, finding that HPV DNA alone is not reliable for detecting active infection and that HPV markers do not correlate with patient survival.

bioRxiv · Mar 13, 2018Cancer Biology

A minimal set of internal control genes for gene expression studies in head and neck squamous cell carcinoma

V. Palve, M. Pareek, N. M. Krishnan, G. Siddappa, A. Suresh, M. A. Kuriakose, B. Panda

The paper identifies RPL30 and RPL27 as stable internal control genes for gene expression studies in head and neck squamous cell carcinoma using microarray, RNA-seq, and qPCR data.

bioRxiv · Feb 14, 2017Cancer Biology

CAFE MOCHA: An Integrated Platform for Discovering Clinically Relevant Molecular Changes in Cancer; an Example of Distant Metastasis and Recurrence-linked Classifiers in Head and Neck Squamous Cell Carcinoma

N. M. Krishnan, M. I, J. Hariharan, B. Panda

CAFE MOCHA identifies molecular signatures linked to clinical attributes in cancer, demonstrating 100% specificity in detecting distant metastasis and recurrence in HNSCC.

bioRxiv · Feb 3, 2017Cancer Biology