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Lucas Seninge

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

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Nature Communications|September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomicsLucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Genome Biology|August 14, 2024
Associating transcription factors to single-cell trajectories with DREAMITNathan 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 perturbationsYing Yang, Lucas Seninge, Ziyuan Wang, et al.
Iscience|January 25, 2021
Prioritizing transcriptional factors in gene regulatory networks with PageRankHongxu 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 InjuryElektra Kantzari Robinson, Atesh Worthington, Donna Poscablo, et al.
Bioinformatics (Oxford, England)|July 10, 2021
UCSC Cell Browser: visualize your single-cell dataMatthew 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 gliomaLauren 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 MucosaYing 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 mucosaYing Yang, Carmel Grace McCullough, Lucas Seninge, et al.
Pageof 1

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

Sort By:
Pageof 1
Nature Communications|September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomicsLucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Genome Biology|August 14, 2024
Associating transcription factors to single-cell trajectories with DREAMITNathan 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 perturbationsYing Yang, Lucas Seninge, Ziyuan Wang, et al.
Iscience|January 25, 2021
Prioritizing transcriptional factors in gene regulatory networks with PageRankHongxu 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 InjuryElektra Kantzari Robinson, Atesh Worthington, Donna Poscablo, et al.
Bioinformatics (Oxford, England)|July 10, 2021
UCSC Cell Browser: visualize your single-cell dataMatthew 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 gliomaLauren 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 MucosaYing 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 mucosaYing Yang, Carmel Grace McCullough, Lucas Seninge, et al.
Pageof 1