A dataset of chronic nicotine-induced genes in HCC38 breast cancer cells
收藏DataCite Commons2025-03-04 更新2025-04-16 收录
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For differential gene expression analysis, PyDESeq2 was used to estimate variance-mean dependence in count data from sequencing assays and test for differential expression based on a model using the negative binomial distribution. Velocyto (0.6) was used to estimate the spliced and unspliced counts from the pre-aligned bam files for the dynamic trajectory analysis.
提供机构：
UC San Diego Library Digital Collections
创建时间：
2025-02-14
