Author

Preetida Bhetariya

Boston Children's Hospital

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Aaron Lavel MoyeiD· 1 shared Antonella F. M. DostiD· 1 shared Carla F. KimiD· 1 shared Carolina García de Alba Rivas· 1 shared Eiso HiyamaiD· 1 shared Hidewaki NakagawaiD· 1 shared Hong‐Gee KimiD· 1 shared Hwa-Jin LeeiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron Lavel MoyeORCID

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1 paper

Recent·Most cited

COOBoostR: an extreme gradient boosting-based tool for robust tissue or cell-of-origin prediction of tumors

Sungmin Yang, Kyungsik Ha, Woojeung Song, Masashi Fujita, Kirsten Kübler, Paz P Polak, Carolina García de Alba Rivas, Patrizia Pessina, Julio Sainz de Aja, Samuel Rowbotham, Preetida Bhetariya, Antonella F. M. Dost, Aaron Lavel Moye, Eiso Hiyama, Hidewaki Nakagawa, , Hwa-Jin Lee

COOBoostR uses extreme gradient boosting to predict tumor tissue or cell-of-origin using chromatin marks and mutation density data, outperforming random forest methods in speed and accuracy.

Life · Dec 27, 2022Peer-reviewedBioinformatics