RNAseqPS: a web tool for estimating sample size and power for RNAseq experiment

Y Guo, S Zhao, CI Li, Q Sheng, Y Shyr - Cancer informatics, 2014 - journals.sagepub.com
Sample size and power determination is the first step in the experimental design of a
successful study. Sample size and power calculation is required for applications for National …

Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments

R Bi, P Liu - BMC bioinformatics, 2016 - Springer
Abstract Background RNA-Sequencing (RNA-seq) experiments have been popularly
applied to transcriptome studies in recent years. Such experiments are still relatively costly …

PROPER: comprehensive power evaluation for differential expression using RNA-seq

H Wu, C Wang, Z Wu - Bioinformatics, 2015 - academic.oup.com
Motivation: RNA-seq has become a routine technique in differential expression (DE)
identification. Scientists face a number of experimental design decisions, including the …

Transcriptomics, proteomics and metabolomics driven biomarker discovery in COPD: an update

N Ghosh, M Dutta, B Singh, R Banerjee… - Expert review of …, 2016 - Taylor & Francis
Introduction: Diagnosis of chronic obstructive pulmonary disease (COPD), characterized by
progressive irreversible airflow limitation, remains a challenge. Lack of sensitive diagnostic …

Deregulation of SYCP 2 predicts early stage human papillomavirus‐positive oropharyngeal carcinoma: A prospective whole transcriptome analysis

L Masterson, F Sorgeloos, D Winder… - Cancer …, 2015 - Wiley Online Library
This study was designed to identify significant differences in gene expression profiles of
human papillomavirus (HPV)‐positive and HPV‐negative oropharyngeal squamous cell …

Power and sample size calculations for high-throughput sequencing-based experiments

CI Li, DC Samuels, YY Zhao, Y Shyr… - Briefings in …, 2018 - academic.oup.com
Power/sample size (power) analysis estimates the likelihood of successfully finding the
statistical significance in a data set. There has been a growing recognition of the importance …

Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data

CI Li, PF Su, Y Shyr - BMC bioinformatics, 2013 - Springer
Background Sample size calculation is an important issue in the experimental design of
biomedical research. For RNA-seq experiments, the sample size calculation method based …

Simulation, power evaluation and sample size recommendation for single-cell RNA-seq

K Su, Z Wu, H Wu - Bioinformatics, 2020 - academic.oup.com
Motivation Determining the sample size for adequate power to detect statistical significance
is a crucial step at the design stage for high-throughput experiments. Even though a number …

Dedicated transcriptomics combined with power analysis lead to functional understanding of genes with weak phenotypic changes in knockout lines

C Xie, C Bekpen, S Künzel, M Keshavarz… - PLoS Computational …, 2020 - journals.plos.org
Systematic knockout studies in mice have shown that a large fraction of the gene
replacements show no lethal or other overt phenotypes. This has led to the development of …

De novo transcriptome analysis of Cnidium monnieri (L.) Cuss and detection of genes related to coumarin biosynthesis

Y Shi, S Zhang, D Peng, C Shan, L Zhao, B Wang… - PeerJ, 2020 - peerj.com
Cnidium monnieri (L.) Cuss (C. monnieri) is one of the most widely used traditional herbal
medicines, exhibiting a wide range of pharmacological functions for treating asynodia …