今日讲座速递 | 大湾区数据科学与统计云讲堂
讲座信息
主题:Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
嘉宾:赵佳
地点:腾讯会议:846-3927-0358
时间:2023年03月11日
内容摘要
The rapid emergence of large-scale atlas-level single-cell RNA-seq datasets presents remarkable opportunities for broad and deep biological investigations through integrative analyses. However, harmonizing such datasets requires integration approaches to be not only computationally scalable, but also capable of preserving a wide range of fine-grained cell populations. We have created Portal, a unified framework of adversarial domain translation to learn harmonized representations of datasets. When compared to other state-of-the-art methods, Portal achieves better performance for preserving biological variation during integration, while achieving the integration of millions of cells, in minutes, with low memory consumption. We show that Portal is widely applicable to integrating datasets across different samples, platforms and data types. We also apply Portal to the integration of cross-species datasets with limited shared information among them, elucidating biological insights into the similarities and divergences in the spermatogenesis process among mouse, macaque and human.
嘉宾简介
赵佳,香港科技大学在读博士生,研究兴趣包括单细胞数据分析,空间转录组数据分析,因果推断等。
全系列介绍
统计之都(Capital of Statistics,简称 COS)成立于 2006 年,是一个旨在推广与应用统计学、数据科学知识的公益性网站和社区。
统计之都以专业、人本、正直、团结的理念尝试推动统计和数据科学在中国的发展,促进各行业的创新和繁荣。
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