Deep learning-based prediction of single-cell transcriptomic states from cell images enabled by robotic data acquisition

Jianshi Jin

[3P-0709] Deep learning-based prediction of single-cell transcriptomic states from cell images enabled by robotic data acquisition

^○Jianshi Jin¹, Taisaku Ogawa¹, Nozomi Hojo¹, Kirill Kryukov², Kenji Shimizu³, Tomokatsu Ikawa⁴, Tadashi Imanishi², Taku Okazaki³, Katsuyuki Shiroguchi¹ (1.RIKEN, BDR, 2.Dept. of Mol. Life Sci., Tokai Univ. Sch. of Med., 3.Inst. for Quant. Biosci., Univ. of Tokyo, 4.Res. Inst. for Biomed. Sci., Tokyo Univ. of Sci.)

f . Omics(5 . Information / System / Technology)

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The 44th Annual Meeting of the Molecular Biology Society of Japan

[3P-0709] Deep learning-based prediction of single-cell transcriptomic states from cell images enabled by robotic data acquisition

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