10/02/2017: Added Partial Dependence Analysis, currently a skeleton but I will build more on it. It is fully working for the analysis of single observations against an amount of features you specify.

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

This link expires every 30 days, so let us know if it doesn't work for you. These lessons are designed to introduce researchers to the R programming language for statistical analysis of metagenomic ...

Choosing the right tool for data analysis is crucial for data scientists and researchers. Two popular choices in the field are R and SPSS. R and SPSS are two popular software tools used for ...

Background: Hepatocellular carcinoma (HCC) is notorious for its high mortality and incidence. Accumulating evidence confirms that chromatin regulators (CRs) have a significant impact on cancer.

1 Imperial Clinical Trials Unit, School of Public Health, Imperial College London, London, UK 2 Pragmatic Clinical Trials Unit, Centre for Evaluation and Methods, Wolfson Institute of Population ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package ...