2018年1月5日 · if LogFC if 0.05, then your actual fold change is 1.0353... which is effectively 1, or rather, no significant change. To convert a logFC value, simply use it as the exponent of two: 2 …

2020年5月30日 · If i take logFc > 1 , there is a significant number . But how can i say that those genes are differentially expressed, they can be in their normal range of expression. Just …

2023年8月26日 · Increasing log2(?)-FC from 0.5 to 2 will diminish the number of genes, not increase. Most tend to go with logFC of 0.26-0.58 which represents a FC of 1.2 and 1.5 …

2022年5月18日 · If you don’t have access to the code and someone else ran in it then you can try the following: use the normalized table, take the mean for each group to get 2 vectors, log2 …

2021年6月28日 · This is available under lFC.Av, but under logFC, I get back another value. According to the test.results definition, it is the "log fold change estimated by fitting the given …

2018年1月5日 · Posted by u/AnonBiomed - 5 votes and 7 comments

2021年7月26日 · The result is a list of differentially expressed genes and I am mainly looking at their LogFC for further processing. Now some genes have a positive LogFC (upregulated) or a …

2021年12月1日 · Hello, Previously when using fgsea I have ran it using genes based on a composite score: -log10(padj) * log2fc.

2021年6月24日 · “b UMAP embeddings of merged scRNA-seq profiles from resting and activated T cells from lung (LG), bone marrow (BM), and lung-draining lymph node (LN) in each of two …

2024年6月22日 · I am quite confused, I have another gene of interest which shows a logFc change of 1.1, p value= 0.004 , but p adj >0.05 before controlling for collection dates. After …