Author

Xiaoting Li

New York Genome Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:mixed model· 1 Assay:scRNA-seq· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Congfei Xu· 1 shared Dimitris AnastassiouiD· 1 shared Eitan S KaplaniD· 1 shared Eric R. LondiniD· 1 shared Erica CheniD· 1 shared Francisco Manuel OrtuñoiD· 1 shared Gaia AndreolettiiD· 1 shared Gamze GürsoyiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

Congfei Xu

Author profile →

2 papers

Recent·Most cited

VASP association stabilizes the actin nucleus revealed by molecular dynamics simulations

Xiaoting Li, Jie Hu, Yu Sun, Congfei Xu, 付义本

This study uses molecular dynamics simulations to show that VASP stabilizes actin trimers by preferentially anchoring a subunit and preserving conformational heterogeneity.

bioRxiv · Oct 17, 2026 · PreprintBiophysics

The SEA-AD DREAM Challenge: Community benchmarking human and AI agent solutions for Alzheimer's disease neuropathology prediction from single-nucleus transcriptomics

Hsin-Yu Lai, Nikolaos Kalavros, Verena Chung, Eitan S Kaplan, Julio Sáez-Rodríguez, Lingyi Cai, Dimitris Anastassiou, Erica Chen, Ignacio Garach Vélez, Gamze Gürsoy, Luis Javier Herrera, Xiaoting Li, Eric R. Londin, Phillipe Loher, Iliza Nazeraj, , Mariano I. Gabitto

The paper presents a benchmarking challenge to predict Alzheimer's disease neuropathology from single-nucleus transcriptomics using human and AI models, finding that top methods achieve near-perfect categorical staging predictions.

bioRxiv · Aug 11, 2026 · PreprintNeuroscience