HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
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Updated
Jul 19, 2021 - R
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR & Neural Networks). - The data used in this project is 2 years worth of intraday 5-minute realized volatility (See: Sheppard, Patton, Liu, 2012) from 20 Dow Jones stocks, that has bee…
an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
Iteratively Adjusted Surrogate Variable Analysis
Measuring and visualizing biomedical data variability/heterogeneity across data sources
MicroRaman is an R package to process microbial Raman Spectroscopy data
DECO :: Decomposing heterogeneous population cohorts for patient stratification and discovery of biomarkers using omic data profiling. R package
Weighted In Silico Pathology: a novel approach to assess intra-tumoral heterogeneity
Quantifying Systematic Heterogeneity in Meta-Analysis
The development version of the frailtyEM R package, that fits several types of shared frailty models
Meta-analysis for METTLE3 & METTLE14
Bayesian Analysis of Heterogeneous Mediation (BAHM)
An R package for network vulnerability and influence analysis
Quantify Disease Transmission Within and Between Population Groups
Rossman R., Yackulic C., Saunders S.P., Reid J., Davis R., and Zipkin E.F. 2016. Dynamic N-occupancy models: estimating demographic rates and local abundances from detection-nondetection data. Ecology. 97: 3300-3307.
A note regarding alternative explanations for heterogeneity in meta-analysis
Explore heterogeneity in quality of life data
Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.
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