TCGA,GEO中可以抓出一大把有详细生存信息的数据
您好,(不做实验也发5分文章)中应用的文章并非未做基础实验,文章中说从流程中来看其实非常简单,就是先下载67个样本的芯片数据,做数据标准化,跑了一下单因素生存分析,筛选出了6487个显著的基因 (探针);但是原文方法学部分Gene expression microarray and data analysis中写:Fresh CRC samples were immediately snap frozen in liquid nitrogen and stored at –80°C until further use.Total RNA was extracted using Trizol reagent (Invitrogen,Carlsbad, California, USA) and sent out to company(Capitalbio Corporation, Beijing, China) for RNA quality control (QC) performance. Only high quality RNA (OD260/280 = 1.8~2.2; 28S:18S ≥ 1.5; RIN (RNA Integrity Number) ≥ 8) were used for Affymetrix HG-U133plus 2.0 gene array. 由上可见这些数据并非下载,而且根据原文章中All pathologic information and follow-up data were obtained by reviewing the hospital records这句话回去细读原文Secreted Protein Acidic and Rich in Cysteines-like 1 Suppresses Aggressiveness and Predicts Better Survival in Colorectal Cancers 根本无法获取详细的生存信息。所以请问老师不做实验也发5分文章的可能性在哪里?您是否在发文之前尝试做过一遍?