An experimentally-derived measure of inter-replicate variation in reference samples: the same-same permutation methodology
DC Handler, PA Haynes - bioRxiv, 2019 - biorxiv.org
The multiple testing problem is a well-known statistical stumbling block in high-throughput
data analysis, where large scale repetition of statistical methods introduces unwanted noise …
data analysis, where large scale repetition of statistical methods introduces unwanted noise …
[PDF][PDF] An experimentally-derived measure of inter-replicate variation in reference samples: 4 the same-same permutation methodology 5
DC Handler, PA Haynes - scholar.archive.org
The multiple testing problem is a well-known statistical stumbling block in high-26
throughput data analysis, where large scale repetition of statistical methods introduces 27 …
throughput data analysis, where large scale repetition of statistical methods introduces 27 …
An experimentally-derived measure of inter-replicate variation in reference samples: the same-same permutation methodology
DC Handler, PA Haynes - 2019 - europepmc.org
The multiple testing problem is a well-known statistical stumbling block in high-throughput
data analysis, where large scale repetition of statistical methods introduces unwanted noise …
data analysis, where large scale repetition of statistical methods introduces unwanted noise …
An experimentally-derived measure of inter-replicate variation in reference samples: the same-same permutation methodology
DC Handler - 2021 - dlib.hust.edu.vn
The multiple testing problem is a well-known statistical stumbling block in high-25
throughput data analysis, where large scale repetition of statistical methods introduces 26 …
throughput data analysis, where large scale repetition of statistical methods introduces 26 …