This project focuses on improving the analysis and separation of overlapping spectral peaks in mass spectrometry data. Accurate detection and separation of these peaks are crucial for identifying substances in complex mixtures, which has applications in various fields such as biochemistry, pharmacology, and environmental science.

Metabolite Peak List Merge, Annotation & Polishing Tool: A user friendly, platform independent R tool to merge, annotate and polish metabolite-peak list data from LC-/GCMS runs

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

Detection of favorable moments in time series data

Data analysis of peak and valley regions

A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.

Lua script for the batch fitting of peaks in spectral data via the Fityk open-source software tool.

Real time peak detection with z-score for Arduino

This repository implements the procedure from Soleymani et al. (2017) for applying DWT-based segmentation on trajectories of turkey vultures in R

🔋 Time Series Forecasting for Energy Demand Spike Prediction 🔋

Benchmarking ChIP-seq peak callers

how to perform basic peak analysis. It will help you answer questions such as: How do I find peaks in my signal? How do I measure distance between peaks? How do I measure the amplitude of peaks of a signal which is affected by a trend? How do I find peaks in a noisy signal? How do I find local minima?