2 papers
q-bio.GN2018
A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets
Andrew D. Fernandes, Michael T. H. Q. Vu, Lisa-Monique Edward +2
Motivation: P values derived from the null hypothesis significance testing framework are strongly affected by sample size, and are known to be irreproducible in underpowered studie…
q-bio.QM2017
Finding the centre: corrections for asymmetry in high-throughput sequencing datasets
Jia R. Wu, Jean M. Macklaim, Briana L. Genge +1
High throughput sequencing is a technology that allows for the generation of millions of reads of genomic data regarding a study of interest, and data from high throughput sequenci…