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Chuangqi Wang

Showing results (1-10 of 31) with videos related to

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Frontiers in Immunology|December 19, 2025
Editorial: Systems immunology and computational omics for transformative medicineAaron S Meyer, Chuangqi Wang, Fan Zhang
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 6, 2024
Interpretable Fine-Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep LearningChuangqi Wang, Hee June Choi, Lucy Woodbury, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
scLASER: a robust framework for simulating and detecting time-dependent single-cell dynamics in longitudinal studiesLauren A Vanderlinden, Juan Vargas, Jun Inamo, et al.
Bioinformatics Advances|June 3, 2024
Uncover spatially informed variations for single-cell spatial transcriptomics with STewNanxi Guo, Juan Vargas, Samantha Reynoso, et al.
Frontiers in Neuroscience|October 18, 2021
Computational Interspecies Translation Between Alzheimer's Disease Mouse Models and Human Subjects Identifies Innate Immune Complement, TYROBP, and TAM Receptor Agonist Signatures, Distinct From Influences of AgingMeelim J Lee, Chuangqi Wang, Molly J Carroll, et al.
Physical Biology|May 10, 2021
Emerging machine learning approaches to phenotyping cellular motility and morphodynamicsHee June Choi, Chuangqi Wang, Xiang Pan, et al.
Nature Communications|April 29, 2018
Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imagingChuangqi Wang, Hee June Choi, Sung-Jin Kim, et al.
Artificial Intelligence in Medicine|May 20, 2023
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedanceXiang Pan, Chuangqi Wang, Yudong Yu, et al.
Cell Reports Methods|December 10, 2021
A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopyJunbong Jang, Chuangqi Wang, Xitong Zhang, et al.
Scientific Reports|December 3, 2021
A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formationKalyanaraman Vaidyanathan, Chuangqi Wang, Amanda Krajnik, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Frontiers in Immunology|December 19, 2025
Editorial: Systems immunology and computational omics for transformative medicineAaron S Meyer, Chuangqi Wang, Fan Zhang
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 6, 2024
Interpretable Fine-Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep LearningChuangqi Wang, Hee June Choi, Lucy Woodbury, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
scLASER: a robust framework for simulating and detecting time-dependent single-cell dynamics in longitudinal studiesLauren A Vanderlinden, Juan Vargas, Jun Inamo, et al.
Bioinformatics Advances|June 3, 2024
Uncover spatially informed variations for single-cell spatial transcriptomics with STewNanxi Guo, Juan Vargas, Samantha Reynoso, et al.
Frontiers in Neuroscience|October 18, 2021
Computational Interspecies Translation Between Alzheimer's Disease Mouse Models and Human Subjects Identifies Innate Immune Complement, TYROBP, and TAM Receptor Agonist Signatures, Distinct From Influences of AgingMeelim J Lee, Chuangqi Wang, Molly J Carroll, et al.
Physical Biology|May 10, 2021
Emerging machine learning approaches to phenotyping cellular motility and morphodynamicsHee June Choi, Chuangqi Wang, Xiang Pan, et al.
Nature Communications|April 29, 2018
Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imagingChuangqi Wang, Hee June Choi, Sung-Jin Kim, et al.
Artificial Intelligence in Medicine|May 20, 2023
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedanceXiang Pan, Chuangqi Wang, Yudong Yu, et al.
Cell Reports Methods|December 10, 2021
A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopyJunbong Jang, Chuangqi Wang, Xitong Zhang, et al.
Scientific Reports|December 3, 2021
A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formationKalyanaraman Vaidyanathan, Chuangqi Wang, Amanda Krajnik, et al.
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