Integrating cell fate prediction by image-based deep learning and single-cell transcriptomics for comprehensive and quantitative understanding of the point of no return to cell death induced by stress

Tomoaki Okaniwa

[1P-464] Integrating cell fate prediction by image-based deep learning and single-cell transcriptomics for comprehensive and quantitative understanding of the point of no return to cell death induced by stress

^○Tomoaki Okaniwa^1,2, Katsuyuki Shiroguchi¹ (1.RIKEN BDR, 2.Grad. Sch. Frontier Biosciences, Osaka Univ.)

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The 45th Annual Meeting of the Molecular Biology Society of Japan

[1P-464] Integrating cell fate prediction by image-based deep learning and single-cell transcriptomics for comprehensive and quantitative understanding of the point of no return to cell death induced by stress

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