Author

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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Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Bleich· 1 shared A. K. Steensma· 1 shared A. Lopez-Hernandez· 1 shared A. Luckie-Duque· 1 shared A. T. Hightower· 1 shared A. Y. Husbands· 1 shared B. L. Montgomery· 1 shared B. M. Webster· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

A. Bleich

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1 paper

Recent·Most cited

Expression-based machine learning models for predicting plant tissue identity

S. Palande, J. Arsenault, P. Basurto-Lozada, A. Bleich, B. N. I. Brown, S. F. Buysse, N. A. Connors, S. Das Adhikari, K. C. Dobson, F. X. Guerra-Castillo, M. F. Guerrero-Carrillo, S. Harlow, H. Herrera-Orozco, A. T. Hightower, P. Izquierdo, , Krishnan

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.

bioRxiv · Aug 20, 2023Plant Biology