Jaclyn Taroni

Affiliations: 
2016- University of Pennsylvania Perelman School of Medicine 
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"Jaclyn Taroni"
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Shapiro JA, Gaonkar KS, Spielman SJ, et al. (2023) OpenPBTA: The Open Pediatric Brain Tumor Atlas. Cell Genomics. 3: 100340
Banerjee J, Taroni JN, Allaway RJ, et al. (2023) Machine learning in rare disease. Nature Methods
Dang MT, Gonzalez MV, Gaonkar KS, et al. (2023) Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality. Cell Reports. 42: 112600
Foltz SM, Greene CS, Taroni JN. (2023) Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously. Communications Biology. 6: 222
Oh S, Geistlinger L, Ramos M, et al. (2022) GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases. Nature Communications. 13: 3695
Fungtammasan A, Lee A, Taroni J, et al. (2022) Ten simple rules for large-scale data processing. Plos Computational Biology. 18: e1009757
Dang MT, Gonzalez MV, Gaonkar KS, et al. (2021) Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality. Cell Reports. 34: 108917
Banerjee J, Allaway RJ, Taroni JN, et al. (2020) Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1. Genes. 11
Taroni JN, Grayson PC, Hu Q, et al. (2019) MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Systems. 8: 380-394.e4
Gonzalez-Hernandez G, Lu Z, Leaman R, et al. (2019) PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 449-454
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