A comprehensive technical guide to edgeR's statistical framework, covering dispersion estimation, differential expression testing, and quasi-likelihood F-tests with detailed numeric examples.
Conjugate priors are a powerful concept in Bayesian statistics that allow us to simplify the process of updating our beliefs about a parameter given new data.
Marginal likelihood is often intractable in Bayesian Inference. Thus ELBO is used as a lower bound to the log marginal likelihood. I derives the ELBO and KL divergence in Bayesian inference, and shows how they are used in Variational Autoencoders (VAEs).
Infectious agents prefer to deposit into certain alveoli. Aerosolized drugs with similar deposition pattern may deliver superior efficacy by directly targeting affected lung tissues
I developed SeqWins to provide memory-efficient, chunk-wise processing of FASTQ files and offer alignment performance that is competitive with or faster than many Linux-based aligners.
EM algorithm, EM with max a posterior, full Bayesian inferences (variational Bayesian) which might be used in auto-coder
A comprehensive exploration of normalization techniques in neural networks, from basic concepts to advanced comparisons and real-world applications.
Smooth tests of goodness of Fit used in Stijn Hawinkel ’s plos one paper
how good is negative binomial
Seurat to analysis large sample size of bulk RNAseq. Discuss Wixcox is better for clinical samples
