Detecting cognizable trends of gene expression in a time series RNA-sequencing experiment: a bootstrap approach

Journal of genetics

SHATAKSHEE CHATTERJEE¹  PARTHA P. MAJUMDER¹  PRIYANKA PANDEY¹ 

[1] $$

关键词: bootstrapping;    RNA sequencing;    time-trends;    gene expression;    simulation.;   

DOI  :  

学科分类：生物科学（综合）

来源: Indian Academy of Sciences

【 摘 要 】

Study of temporal trajectory of gene expression is important. RNA sequencing is popular in genome-scale studies of transcription. Because of high expenses involved, many time-course RNA sequencing studies are challenged by inadequacy of sample sizes. This poses difficulties in conducting formal statistical tests of significance of null hypotheses. We propose a bootstrap algorithm to identify ‘cognizable’ ‘time-trends’ of gene expression. Properties of the proposed algorithm are derived using a simulation study. The proposed algorithm captured known ‘time-trends’ in the simulated data with a high probability of success, even when sample sizes were small (n<10). The proposed statistical method is efficient and robust to capture ‘cognizable’ ‘time-trends’ in RNA sequencing data.

【 授权许可】

Unknown