Omics Diary

A better understanding of correlation is required to better interpret relationship between variables

Using the right statistical parameters can better inform the design of experiments

Webtools are a great way for readers to interact with the data, with relevant examples

Characterising the transcriptomic profile of individuals given the self-amplifying mRNA vaccine

The advantage of plotting scatterplots in R and the best way to represent multi-dimensional data

A web tool, Gene Updater, made by Streamlit to help preserve scientific data integrity and reproducibility

Summarising the interesting aspects of the book and why being billingual can be useful

Evaluating the distribution of your data variables with Python in just a few lines of codes

Calculating the best estimate for population statistics based on sample data

Summarising the useful Python libraries for data dashboarding and my recommended resources to learn about Streamlit for data science app…

Ignoring these fundamentals could lead to wrong interpretation of data that complicates your machine

A simple code that quickly tabulates the significance in a table format for easy visualisation

A comparison on the use of different methods that are commonly used to calculate correlation and why we should consider measuring all 3 of…

Exploratory data analysis can be a breeze with Pandas Profiling.

Making documentation files can be quick and free-of-charge if you know Python and R

Using the best machine learning tools to answer the right questions

An Enrichr pathway analysis package within the Python wrapper

An analysis of the correlation between different time points after Merck Ad5/HIV vaccination.

The pros and cons of Dataquest for learning Python.

Categorical variables are often analysed with bar charts, box plots, violin plots or strip plots. While these data visualisation tools…

A guide on optimization of selection criteria using ipywidgets.

A guide for building volcano plots using Plotly in Python for the quantitative analysis of Omics data.

A data scientist’s perspective on the best choice for data analysis.