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Nature Communications
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September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics
Lucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Genome Biology
|
August 14, 2024
Associating transcription factors to single-cell trajectories with DREAMIT
Nathan D Maulding, Lucas Seninge, Joshua M Stuart
Scientific Reports
|
May 23, 2024
The manatee variational autoencoder model for predicting gene expression alterations caused by transcription factor perturbations
Ying Yang, Lucas Seninge, Ziyuan Wang, et al.
Iscience
|
January 25, 2021
Prioritizing transcriptional factors in gene regulatory networks with PageRank
Hongxu Ding, Ying Yang, Yuanqing Xue, et al.
Journal of Immunology (Baltimore, Md. : 1950)
|
April 2, 2022
<i>lincRNA-Cox2</i> Functions to Regulate Inflammation in Alveolar Macrophages during Acute Lung Injury
Elektra Kantzari Robinson, Atesh Worthington, Donna Poscablo, et al.
Bioinformatics (Oxford, England)
|
July 10, 2021
UCSC Cell Browser: visualize your single-cell data
Matthew L Speir, Aparna Bhaduri, Nikolay S Markov, et al.
Gigascience
|
December 15, 2020
Identification of a differentiation stall in epithelial mesenchymal transition in histone H3-mutant diffuse midline glioma
Lauren M Sanders, Allison Cheney, Lucas Seninge, et al.
Biorxiv : the Preprint Server for Biology
|
November 14, 2023
A Spatiotemporal and Machine-Learning Platform Accelerates the Manufacturing of hPSC-derived Esophageal Mucosa
Ying Yang, Carmel Grace McCullough, Lucas Seninge, et al.
Developmental Cell
|
January 11, 2025
A spatiotemporal and machine-learning platform facilitates the manufacturing of hPSC-derived esophageal mucosa
Ying Yang, Carmel Grace McCullough, Lucas Seninge, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Nature Communications
|
September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics
Lucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Genome Biology
|
August 14, 2024
Associating transcription factors to single-cell trajectories with DREAMIT
Nathan D Maulding, Lucas Seninge, Joshua M Stuart
Scientific Reports
|
May 23, 2024
The manatee variational autoencoder model for predicting gene expression alterations caused by transcription factor perturbations
Ying Yang, Lucas Seninge, Ziyuan Wang, et al.
Iscience
|
January 25, 2021
Prioritizing transcriptional factors in gene regulatory networks with PageRank
Hongxu Ding, Ying Yang, Yuanqing Xue, et al.
Journal of Immunology (Baltimore, Md. : 1950)
|
April 2, 2022
<i>lincRNA-Cox2</i> Functions to Regulate Inflammation in Alveolar Macrophages during Acute Lung Injury
Elektra Kantzari Robinson, Atesh Worthington, Donna Poscablo, et al.
Bioinformatics (Oxford, England)
|
July 10, 2021
UCSC Cell Browser: visualize your single-cell data
Matthew L Speir, Aparna Bhaduri, Nikolay S Markov, et al.
Gigascience
|
December 15, 2020
Identification of a differentiation stall in epithelial mesenchymal transition in histone H3-mutant diffuse midline glioma
Lauren M Sanders, Allison Cheney, Lucas Seninge, et al.
Biorxiv : the Preprint Server for Biology
|
November 14, 2023
A Spatiotemporal and Machine-Learning Platform Accelerates the Manufacturing of hPSC-derived Esophageal Mucosa
Ying Yang, Carmel Grace McCullough, Lucas Seninge, et al.
Developmental Cell
|
January 11, 2025
A spatiotemporal and machine-learning platform facilitates the manufacturing of hPSC-derived esophageal mucosa
Ying Yang, Carmel Grace McCullough, Lucas Seninge, et al.
Page
of 1