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Karla Paniagua

Showing results (1-10 of 9) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|October 17, 2024
Dental Composite Performance Prediction Using Artificial IntelligenceKarla Paniagua Rivera, Kyumin Whang, Krishna Joshi, et al.
STAR Protocols|November 28, 2025
Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomicsKarla Paniagua, Yufei Huang, Shou-Jiang Gao, et al.
Iscience|April 15, 2025
Dissection of tumoral niches using spatial transcriptomics and deep learningKarla Paniagua, Yu-Fang Jin, Yidong Chen, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
KSHV Reprograms Host RNA Splicing via FAM50A to Activate STAT3 and Drive Oncogenic Cellular TransformationShenyu Sun, Karla Paniagua, Ling Ding, et al.
Mbio|June 12, 2025
KSHV reprograms host RNA splicing via FAM50A to activate STAT3 and drive oncogenic cellular transformationShenyu Sun, Ling Ding, Karla Paniagua, et al.
Genes|December 23, 2022
Characterizing Macrophages Diversity in COVID-19 Patients Using Deep LearningMario A Flores, Karla Paniagua, Wenjian Huang, et al.
The Lancet. Global Health|January 10, 2026
Integrating systems thinking with global implementation science to co-learn and co-create mental health interventions and strategies with Maya Indigenous community partnersAlejandra Paniagua-Avila, Diego Sapalú, Michelle Pieters, et al.
Briefings in Bioinformatics|December 20, 2021
Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysisMario Flores, Zhentao Liu, Tinghe Zhang, et al.
Journal of Medical Virology|August 11, 2023
Molecular and immune signatures, and pathological trajectories of fatal COVID-19 lungs defined by in situ spatial single-cell transcriptome analysisArun Das, Wen Meng, Zhentao Liu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medrxiv : the Preprint Server for Health Sciences|October 17, 2024
Dental Composite Performance Prediction Using Artificial IntelligenceKarla Paniagua Rivera, Kyumin Whang, Krishna Joshi, et al.
STAR Protocols|November 28, 2025
Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomicsKarla Paniagua, Yufei Huang, Shou-Jiang Gao, et al.
Iscience|April 15, 2025
Dissection of tumoral niches using spatial transcriptomics and deep learningKarla Paniagua, Yu-Fang Jin, Yidong Chen, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
KSHV Reprograms Host RNA Splicing via FAM50A to Activate STAT3 and Drive Oncogenic Cellular TransformationShenyu Sun, Karla Paniagua, Ling Ding, et al.
Mbio|June 12, 2025
KSHV reprograms host RNA splicing via FAM50A to activate STAT3 and drive oncogenic cellular transformationShenyu Sun, Ling Ding, Karla Paniagua, et al.
Genes|December 23, 2022
Characterizing Macrophages Diversity in COVID-19 Patients Using Deep LearningMario A Flores, Karla Paniagua, Wenjian Huang, et al.
The Lancet. Global Health|January 10, 2026
Integrating systems thinking with global implementation science to co-learn and co-create mental health interventions and strategies with Maya Indigenous community partnersAlejandra Paniagua-Avila, Diego Sapalú, Michelle Pieters, et al.
Briefings in Bioinformatics|December 20, 2021
Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysisMario Flores, Zhentao Liu, Tinghe Zhang, et al.
Journal of Medical Virology|August 11, 2023
Molecular and immune signatures, and pathological trajectories of fatal COVID-19 lungs defined by in situ spatial single-cell transcriptome analysisArun Das, Wen Meng, Zhentao Liu, et al.
Pageof 1