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DNA Ghost:
This note based blog covers bioinformatics and cancer genomics
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The power of biological replicates in statistical analysis
Biological replicates are commonly used in case-control studies for a fundamental reason: no two individuals are biologically identical....

MCMC II: Applying MCMC in somatic variant calling
In PREVIOUS ARTICLE, we introduced theoretical basis of MCMC, its components and how it approximates the posterior distribution of...

MCMC: Monte Carlo sampling and Markov Chain
In PREVIOUS ARTICLE , we mentioned that Bayesian approach is being used for somatic variant detection. We will pick up this topic from...

An intuitive understanding of Bayesian statistics
In previous post, we mentioned that each locus across genome owns different noise rate due to variety of technical / biological factors....

Probability distribution in NGS data analysis
In a previous post, we introduced the fundamentals of probability distributions and their role in hypothesis testing. In this discussion,...

Probability distribution and hypothesis testing
Bioinformatics is an interdisciplinary field that integrates biology (including clinical medicine), computer science, and statistics. For...

Matrix factorization of high dimension data
In oncology research, it is a common goal to uncover specific molecular pattern of cancer. High-throughput sequencing has been become the...


Survival analysis and logistic regression
Survival analysis and logistic regression share certain similarities. The use of logistic regression for survival analysis, although not...

A general comparison: Generative vs Discriminative model
When comes to a general bioinformatics task, there are always a bunch of tools on which we have to evaluate based on their underlying...
Technical consideration with cell type decomposition
Ghost recently did some research on cell type decomposition technique, specifically TIL decomposition in tumor sample. TIMER and...
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