제목	2021년 9월 30일 생물정보학 세미나
작성자	관리자	작성일	2021-09-23
서울대학교 생물정보학 협동과정 주최로 세미나를 아래와 같이 열고자 하오니 많은 참여 바랍니다. 세미나는 Zoom을 통한 온라인 강의로 예정되어 있으며 강의에 참여하고자 하시는 분께서는 아래의 링크로 참여 부탁드리겠습니다. 일시: 2021년 9월 30일 목요일 오전 11시 연사: 남덕우 연사님 (UNIST) Zoom link:　https://snu-ac-kr.zoom.us/j/84015763984 Title:　Normalization, batch-effects correction and differential expression analysis of single-cell RNA-seq data Abstract Despite the recent advancement in integration of scRNA-seq data from different samples, the strategies to integrate differential expression (DE) analysis of scRNA-seq data remains underexplored. Here, we benchmarked three integrative approaches for DE analysis of scRNA-seq data: batch-effects correction followed by DE analysis, statistical model incorporating batch covariate, and meta-analysis. Batch-effects correction methods developed for scRNA-seq data rarely improved the analysis of uncorrected data, whereas other commonly used integration methods showed modest improvement. In contrast, the choice of DE analysis method had a significant impact on the performance. In particular, several parametric methods consistently outperformed the widely used ranksum test. We analyzed the scRNA-seq data for seven patients with lung adenocarcinoma. Several integration methods exhibited significant and improved ranks of known genes in lung cancer compared to the ranksum test, and also better prioritized the genes prognostic to lung cancer.