Author

Ivana Marić

Stanford MedicineORCID 0000-0002-9441-521XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brice L GaudilliereiD· 2 shared David K. StevensoniD· 2 shared Gary Michael ShawiD· 2 shared Martin S. AngstiD· 2 shared Nima AghaeepouriD· 2 shared Alan Lee ChangiD· 1 shared Amy S. TsaiiD· 1 shared Anthony CulosiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMolecular Biology

Brice L GaudilliereORCID

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2 papers

Recent·Most cited

Molecular BiologyPLoS ONEPeer-reviewedMar 3, 2020

Changes in pregnancy-related serum biomarkers early in gestation are associated with later development of preeclampsia

Shiying Hao, Jin You, Lin Chen…·Xuefeng B. Ling

This study identifies changes in pregnancy-related serum biomarkers early in gestation as indicators of later preeclampsia development, validated in both human and mouse models.

30 citations

humanmouse

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 26, 2020

Integration of Mechanistic Immunological Knowledge into a Machine Learning Pipeline Increases Predictive Power

Anthony Culos, Amy S. Tsai, Natalie Stanley…·Nima Aghaeepour

The paper introduces a machine learning method that integrates immunological knowledge to improve predictive power from mass cytometry data.

DOI 10.1101/2020.02.26.967232

humanbulk RNA-seq

𝕏 PostBluesky