RNA sequencing data: hitchhiker's guide to expression analysis
K Van den Berge, KM Hembach… - Annual Review of …, 2019 - annualreviews.org
Gene expression is the fundamental level at which the results of various genetic and
regulatory programs are observable. The measurement of transcriptome-wide gene …
regulatory programs are observable. The measurement of transcriptome-wide gene …
BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty
S Tiberi, MD Robinson - Genome biology, 2020 - Springer
Alternative splicing is a biological process during gene expression that allows a single gene
to code for multiple proteins. However, splicing patterns can be altered in some conditions or …
to code for multiple proteins. However, splicing patterns can be altered in some conditions or …
Bayesian methods for gene expression analysis
We review the use of Bayesian methods for analysing gene expression data, from
microarrays and bulk RNA sequencing, focusing on methods which select groups of genes …
microarrays and bulk RNA sequencing, focusing on methods which select groups of genes …
Transcriptome-based identification of small RNA in plants: The need for robust prediction algorithms
The world is abuzz with imploring discussions on climate change and how the human
population will adapt to climatic fluctuations. One of the prime requirements is the availability …
population will adapt to climatic fluctuations. One of the prime requirements is the availability …
[图书][B] Extracting Meaningful Features from Noisy Microbiome Data
S Woloszynek - 2018 - search.proquest.com
The increasing availability of microbiome survey data has led to the use of complex machine
learning and statistical approaches to measure taxonomic diversity and extract relationships …
learning and statistical approaches to measure taxonomic diversity and extract relationships …