Author

Luopin Wang

Purdue University West LafayetteORCID 0000-0001-5758-4092Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Ananth Y. GramaiD· 2 shared Majid KazemianiD· 2 shared Mario SolaiD· 2 shared Mengbo WangiD· 2 shared Nadia A. LanmaniD· 2 shared Shourya VermaiD· 2 shared Abigail D. CoxiD· 1 shared Abigail English· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Ananth Y. GramaORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 11, 2026

Intracellular complement Factor B couples inflammatory sensing to metabolism, chromatin regulation and maladaptive tissue repair

Tilo Freiwald, Daniel Chauss, Md Tajmul…·Behdad Afzali

The paper identifies an injury-induced complement program in kidney cells that couples inflammation to metabolism and chromatin regulation, promoting maladaptive fibrosis.

DOI 10.64898/2026.10.04.756581

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJun 12, 2026

Generating Joint Transcriptomic and Morphological Responses to Drug Perturbations via Rectified Flow

Shourya Verma, Mengbo Wang, Luopin Wang…·Nadia A. Lanman

PertFlow jointly predicts gene expression and cellular morphology from drug perturbations, achieving high correlation and expert-rated image similarity.

2 citations

humanbulk RNA-seq

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PathologybioRxivPreprintNov 2, 2025

AnnotateAnyCell: Open-Source AI Framework for Efficient Annotation in Digital Pathology

Shourya Verma, Aditya Malusare, Mengbo Wang…·Nadia A. Lanman

AnnotateAnyCell reduces annotation time for histopathological images by 25% using a semi-supervised framework with active contrastive learning and human-in-the-loop feedback.

DOI 10.1101/2025.11.02.686114

imagingcontrastive learning

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