A flexible normalizer for user-generated content
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Updated
May 8, 2024 - Python
A flexible normalizer for user-generated content
Pipeline to analyse ChIP-Rx data, i.e ChIP-Seq with reference exogenous genome spike-in normalization
Automatic normalization and data updates for data fetching libraries (react-query, swr, rtk-query and more)
R/Bioconductor package - Peak Matrix Processing and signal batch correction for metabolomics data sets
NAnostring quality Control dasHbOard
An R package for the processing of plate reader and flow cytometry data. This includes: normalisation and calibration of plate reader data, and removing debris and doublets and calibration of flow cytometry data.
Cross Modal Retrieval with Querybank Normalisation
Python library for MIME type parsing, normalisation and grouping.
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
protGear is a package for protein microarray data processing just before the main analysis.
A header library and toolset to assist in developing table-based software.
A simple linear regression from scratch which also implements normalization and feature engineering
PROFILE RNA-seq binarization technique.
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
An R package containing packages able to normalise NMR spectra derived from urine samples of different dilutions to produce more accurate and robust results from multivariate statistical analysis.
Project on MySQL, PostgreSQL and MongoDB
Visualising RNA-Seq (mouse) gene expression data for my bioinformatics dissertation project using R
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