R tools for data mining, data visualization and cumulative risk assessment.
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Updated
May 15, 2024 - R
R tools for data mining, data visualization and cumulative risk assessment.
Academic project: data mining and forecast model building
Projects of the Data Mining course at the Lebanese American University
The second experiment of three-phrase-dependency-analysis method, only consider the single factor.
This is the source code of experiment of the Research On Gene Regulatory Relationships Mining Based On Three-Phase Dependency Analysis Algorithm, here is the description about project structure. All files and folders are in the same directory,
This is a porfolio of Data Science and Data Analytics projects from academia and industry
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Collection of various algorithms implemented in R.
Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.
Data Mining of Plant Diversity and Distribution for R
Time series analysis in the `tidyverse`
Topic Modeling of US Presidential Speeches
An R Package for Managing Species Records from Biological Collections
Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees
latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
For my Data Analytics subject I studied about car consumption habits depending on different factors collected in a survey made by Smartme Analytics.
Methods for pre-treatment, modelling/data mining, and correlation analyses of metabolomics data
Extraction Of Data
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