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Neuronal differentiation strategies: insights from single-cell sequencing and machine learning

机译：神经元分化策略：单细胞排序和机器学习见解

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Nikolaos Konstantinides; Claude Desplan;
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年度 2020
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2. Machine learning and statistical methods for clustering single-cell RNA-sequencing data [J] . Raphael Petegrosso, Zhuliu Li, Rui Kuang Briefings in bioinformatics . 2020,第4期

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5. Single-Cell Sequencing, Machine Learning, and Statistical Modeling Provide Insight Into the Paired αβ Tcr Repertoire and Cancer Genomics [D] . Carter, Jason Alexander. 2019

机译：单细胞排序，机器学习和统计建模提供了对成对的AβTCR曲目和癌症基因组学的见解
6. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T [O] . Ying-Zhi Sun, Lin-Feng Yan, Yu Han, 2021

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Neuronal differentiation strategies: insights from single-cell sequencing and machine learning

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