2篇
您的检索式：作者名="Olivier Elemento"
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| 1 | Double-stranded DNA in exosomes: a novel biomarker in cancer detection显示文摘 | Basant Kumar Thakur Haiying Zhang Annette Becker Irina Matei Yujie Huang Bruno Costa-Silva Yan Zheng Ayuko Hoshino Helene Brazier Jenny Xiang Caitlin Williams Ruth Rodriguez-Barrueco Jose M Silva Weijia Zhang Stephen Hearn Olivier Elemento Navid Paknejad Katia Manova-Todorova Karl Welte Jacqueline Bromberg Hector Peinado David Lyden | 2014 | Cell Research2014，24，6： | 98 |
| 2 | Application of Deep Learning on Single-cell RNA Sequencing Data Analysis:A Review显示文摘Single-cell RNA sequencing(scRNA-seq)has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously.Analysis of scRNA-seq data plays an important role in the study of cell states and phenotypes,and has helped elucidate biological processes,such as those occurring during the development of complex organisms,and improved our understanding of disease states,such as cancer,diabetes,and coronavirus disease 2019(COVID-19).Deep learning,a recent advance of artificial intelligence that has been used to address many problems involving large datasets,has also emerged as a promising tool for scRNA-seq data analysis,as it has a capacity to extract informative and compact features from noisy,heterogeneous,and high-dimensional scRNA-seq data to improve downstream analysis.The present review aims at surveying recently developed deep learning techniques in scRNA-seq data analysis,identifying key steps within the scRNA-seq data analysis pipeline that have been advanced by deep learning,and explaining the benefits of deep learning over more conventional analytic tools.Finally,we summarize the challenges in current deep learning approaches faced within scRNA-seq data and discuss potential directions for improvements in deep learning algorithms for scRNA-seq data analysis. | Matthew Brendel Chang Su Zilong Bai Hao Zhang Olivier Elemento Fei Wang | 2022 | Genomics, Proteomics & Bioinformatics2022，20，5： | 1 |
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