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Jaclyn N Taroni

Showing results (1-10 of 21) with videos related to

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Msystems|August 22, 2019
Making Workshops Work: Insights from EDAMAMEJaclyn N Taroni
Communications Biology|February 25, 2023
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneouslySteven M Foltz, Casey S Greene, Jaclyn N Taroni
Current Treatment Options in Rheumatology|March 10, 2018
The mechanistic implications of gene expression studies in SSc: Insights from Systems BiologyJaclyn N Taroni, J Matthew Mahoney, Michael L Whitfield
The Journal of Investigative Dermatology|December 25, 2016
A Functional Genomic Meta-Analysis of Clinical Trials in Systemic Sclerosis: Toward Precision Medicine and Combination TherapyJaclyn N Taroni, Viktor Martyanov, J Matthew Mahoney, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patientsTrang T Le, Nigel O Blackwood, Jaclyn N Taroni, et al.
Nature Methods|May 29, 2023
Machine learning in rare diseaseJineta Banerjee, Jaclyn N Taroni, Robert J Allaway, et al.
Molecular Reproduction and Development|February 22, 2013
Roles of mouse sperm-associated alpha-L-fucosidases in fertilizationKamonrat Phopin, Wutigri Nimlamool, Linda J Lowe-Krentz, et al.
Cell Systems|May 24, 2019
MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare DiseaseJaclyn N Taroni, Peter C Grayson, Qiwen Hu, et al.
Journal of Bacteriology|January 10, 2018
A Multimodal Strategy Used by a Large c-di-GMP NetworkKurt M Dahlstrom, Alan J Collins, Georgia Doing, et al.
Nature Communications|June 27, 2022
GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databasesSehyun Oh, Ludwig Geistlinger, Marcel Ramos, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Msystems|August 22, 2019
Making Workshops Work: Insights from EDAMAMEJaclyn N Taroni
Communications Biology|February 25, 2023
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneouslySteven M Foltz, Casey S Greene, Jaclyn N Taroni
Current Treatment Options in Rheumatology|March 10, 2018
The mechanistic implications of gene expression studies in SSc: Insights from Systems BiologyJaclyn N Taroni, J Matthew Mahoney, Michael L Whitfield
The Journal of Investigative Dermatology|December 25, 2016
A Functional Genomic Meta-Analysis of Clinical Trials in Systemic Sclerosis: Toward Precision Medicine and Combination TherapyJaclyn N Taroni, Viktor Martyanov, J Matthew Mahoney, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patientsTrang T Le, Nigel O Blackwood, Jaclyn N Taroni, et al.
Nature Methods|May 29, 2023
Machine learning in rare diseaseJineta Banerjee, Jaclyn N Taroni, Robert J Allaway, et al.
Molecular Reproduction and Development|February 22, 2013
Roles of mouse sperm-associated alpha-L-fucosidases in fertilizationKamonrat Phopin, Wutigri Nimlamool, Linda J Lowe-Krentz, et al.
Cell Systems|May 24, 2019
MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare DiseaseJaclyn N Taroni, Peter C Grayson, Qiwen Hu, et al.
Journal of Bacteriology|January 10, 2018
A Multimodal Strategy Used by a Large c-di-GMP NetworkKurt M Dahlstrom, Alan J Collins, Georgia Doing, et al.
Nature Communications|June 27, 2022
GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databasesSehyun Oh, Ludwig Geistlinger, Marcel Ramos, et al.
Pageof 3