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- W3010166103 abstract "Studies of gene expression levels are known to be affected by biases related to the experimental procedure. Nucleotide composition of the studied genes significantly affects the efficiency of biochemical reactions used to prepare the material for study which translates to the measured expression levels. Data pre-processing methods aim at reducing such differences and the use of replicate samples is expected to increase the data quality, however all commonly used methods suffer from the reproducibility problems. In this work we utilize information provided by over two thousand experiments in order to explain the origin of nucleotide composition bias, highlight the magnitude of the problem and show its consequences for the interpretation of gene expression studies. We show that despite data standardization and the use of sample replicates the effect can have significant impact on the detection of differentially expressed genes between analyzed conditions, affecting interpretation of results from such studies." @default.
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- W3010166103 date "2019-12-01" @default.
- W3010166103 modified "2023-09-23" @default.
- W3010166103 title "Nucleotide composition bias in high throughput gene expression measurement methods" @default.
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- W3010166103 doi "https://doi.org/10.1109/icspcs47537.2019.9008642" @default.
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