Author

Thanaphong Phongpreecha

Stanford MedicineORCID 0000-0001-9245-6686Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Nima AghaeepouriD· 3 shared Alan Lee ChangiD· 2 shared Chandresh R. GajeraiD· 2 shared Kathleen L. PostoniD· 2 shared Kathleen S. MontineiD· 2 shared Martin BeckeriD· 2 shared Ramin FallahzadehiD· 2 shared Sean C. BendalliD· 2 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersNeuroscience

Nima AghaeepourORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJan 30, 2024

Single-Cell Peripheral Immunoprofiling of Lewy Body Disease in a Multi-site Cohort

Thanaphong Phongpreecha, Kavita Mathi, Brenna Cholerton…·Thomas Jude Montine

This study uses single-cell immunoprofiling to identify distinct immune signatures in Lewy body disease compared to other neurodegenerative and immune conditions.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

NeuroscienceScience AdvancesPeer-reviewedDec 15, 2021

Single-synapse analyses of Alzheimers disease implicate pathologic tau, DJ1, CD47, and ApoE

Thanaphong Phongpreecha, Chandresh R. Gajera, Candace C. Liu…·Thomas Jude Montine

The paper analyzes synaptic molecular changes in Alzheimer's disease and related conditions using mass cytometry and imaging, identifying disease-specific molecular differences.

28 citations

humannon-human primate

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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