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Aixa X Andrade

Showing results (1-10 of 5) with videos related to

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Research Square|April 1, 2025
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoderAixa X Andrade, Son Nguyen, Albert Montillo
Arxiv|November 28, 2024
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoderAixa X Andrade, Son Nguyen, Albert Montillo
Nature Communications|June 2, 2026
scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoderAixa X Andrade, Son N Nguyen, Austin Marckx, et al.
Neuroimage. Clinical|March 12, 2024
Longitudinal prognosis of Parkinson's outcomes using causal connectivityCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Scientific Reports|June 14, 2022
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interestHossein Naseri, Sonia Skamene, Marwan Tolba, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Research Square|April 1, 2025
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoderAixa X Andrade, Son Nguyen, Albert Montillo
Arxiv|November 28, 2024
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoderAixa X Andrade, Son Nguyen, Albert Montillo
Nature Communications|June 2, 2026
scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoderAixa X Andrade, Son N Nguyen, Austin Marckx, et al.
Neuroimage. Clinical|March 12, 2024
Longitudinal prognosis of Parkinson's outcomes using causal connectivityCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Scientific Reports|June 14, 2022
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interestHossein Naseri, Sonia Skamene, Marwan Tolba, et al.
Pageof 1