Author

Christopher W. Bartlett

BattelleORCID 0000-0001-7837-6348Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Steven G. BuyskeiD· 2 shared Amii KressiD· 1 shared Anbo ZhouiD· 1 shared Brett G. KlameriD· 1 shared Brian A. WalkeriD· 1 shared Bryan M. LauiD· 1 shared Christina Y. YuiD· 1 shared Christine GwiniD· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Steven G. BuyskeORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 14, 2022

Application of a Latent Trait Modeling Method for Missing Data Across Datasets: Guidance on Appropriate Factor Structure

Christopher W. Bartlett, Tyler J. Gorham, Emily A. Knapp…·Stephen A. Petrill

The paper extends a latent trait modeling method to handle missing data across datasets without requiring overlapping measurement instruments, using matrix completion and evaluates its reliability through simulation.

1 citation

matrix factorizationstatistical model

𝕏 PostBluesky

Genetic & Genomic MedicineHuman GeneticsPeer-reviewedOct 17, 2022

Common Genetic Risk Factors in ASD and ADHD Co-occurring Families

Anbo Zhou, Xiaolong Cao, Vaidhyanathan Mahaganapathy…·Jinchuan Xing

This study identifies shared genetic risk factors for ASD and ADHD using whole genome sequencing data from families with co-occurring disorders.

25 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsGenome MedicinePeer-reviewedFeb 1, 2022

Diagnostic Evidence GAuge of Single cells (DEGAS): A flexible deep-transfer learning framework for prioritizing cells in relation to disease

Travis S. Johnson, Christina Y. Yu, Zhi Huang…·Jie Zhang

DEGAS transfers disease information from patients to cells using deep transfer learning, identifying PHF19high myeloma cells linked to progression.

48 citationstop 5%

humanscRNA-seq

𝕏 PostBluesky