It is not common that we see biological replicates are used in case-controlled studies. The reason is straightforward: there is no biologically identical individual. Whenever we are to investigate the biological difference between individual with different phenotype,...
In PREVIOUS ARTICLE, we introduced theoretical basis of MCMC, its components and how it approximates the posterior distribution of interest via sampling in high dimension data. Here let's put MCMC into actual application in genomic research.
In PREVIOUS ARTICLE, we mentioned that Bayesian approach is being used for somatic variant detection. We will pick up this topic from here and spend two articles on building a site specific error model using MCMC for variant detection. Before walking into actual appl...
In previous post, we mentioned that each locus across genome owns different noise rate due to variety of technical / biological factors. Bayesian method may better detect genuine variants by adding these factors into consideration. Before diving into more sophisticat...
In previous POST, we discussed some basics of probability distribution and corresponding hypothesis testing. Here let's continue this topic and talk about the usage of probability distribution in NGS data analysis. More specifically, why do we choose what we choose...
Bioinformatics is an interdisciplinary of biology (clinical medicine), computer science as well as statistics. To enable an in-depth biomedical / bioinformatics research, especially data driven research, researchers ought to have robust and intuitive understanding to...
In oncology research, it is a common goal to uncover specific molecular pattern of cancer. High-throughput sequencing has been become the routine approach to start with. However, sequencing technique such as RNA-Seq and bisulfite sequencing generates high dimension dat...
Survival analysis and logistic regression share certain similarities. The use of logistic regression for survival analysis, although not strictly correct due to data censoring in survival data, provides intuitive understanding.
When comes to a general bioinformatics task, there are always a bunch of tools on which we have to evaluate based on their underlying algorithm. Moreover, when we are about to build a model on our own, we again have to pick from a variety of ML model. How do we know wh...
Ghost recently did some research on cell type decomposition technique, specifically TIL decomposition in tumor sample. TIMER and CIBERSORT came across alone with their technical debates published on correspondence of Genome Biology. Li in Revisit linear regression-base...
