Author

R. Parikh

Howard Hughes Medical InstituteORCID 0000-0002-8386-321XUnclaimed ORCID profile · follow to get notified of new preprints

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Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Anindya DuttaiD· 1 shared Briana WilsoniD· 1 shared Fenix W. D. HuangiD· 1 shared Laine MarrahiD· 1 shared Pankaj KumariD· 1 shared Shekhar SahaiD· 1 shared Zhangli SuiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anindya DuttaORCID

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2 papers

Recent·Most cited

tRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction

R. Parikh, Briana Wilson, Laine Marrah, Zhangli Su, Shekhar Saha, Pankaj Kumar, Fenix W. D. Huang, Anindya Dutta

tRForest improves tRNA fragment target prediction using random forest, validated in cell lines and showing enrichment in neuronal function.

NAR Genomics and Bioinformatics · Mar 31, 2022Peer-reviewedBioinformatics

Large-scale neuron cell classification of single-channel and multi-channel extracellular recordings in the anterior lateral motor cortex

This study classifies neuron cell types and subtypes from extracellular recordings using machine learning algorithms, achieving high accuracy in single-channel and multi-channel data.

bioRxiv · Oct 31, 2018 · PreprintNeuroscience