Author

Parker Grosjean

University of California, San FranciscoORCID 0000-0002-2024-119XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Christian Malte BeckeriD· 2 shared Grant W. MontgomeryiD· 2 shared Idit KostiiD· 2 shared Juan C. IrwiniD· 2 shared Krina T. ZondervaniD· 2 shared Linda C. GiudiceiD· 2 shared Marina SirotaiD· 2 shared Nilüfer RahmioğluiD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Christian Malte BeckerORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 7, 2026

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

Amrita Nagasuri, Umair Khan, Parker Grosjean…·Marina Sirota

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

DOI 10.64898/2026.09.02.749016

humanDNA methylation

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BioinformaticsNature Machine IntelligencePeer-reviewedDec 17, 2025

Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics

Parker Grosjean, Kaivalya Shevade, Cuong Nguyen…·Martin Kampmann

The paper introduces Plexus, a self-supervised model for capturing neuronal activity dynamics, and demonstrates its effectiveness in identifying genetic modifiers of neuronal activity in frontotemporal dementia.

2 citations

humanspatial transcriptomics

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Systems BiologybioRxivPreprintNov 27, 2022

Global Endometrial DNA Multi-omics Analysis Reveals Insights into mQTL Regulation and Associated Endometriosis Disease Risk

Sally Mortlock, Sahar Houshdaran, Idit Kosti…·Linda C. Giudice

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.

DOI 10.1101/2022.11.27.518106

humanDNA methylation

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