Sleep stage detection using ECG
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Updated
Jul 18, 2024 - Python
Sleep stage detection using ECG
CNAqc - Copy Number Alteration (CNA) Quality Check package
Gamma spectroscopy tools originally developed to analyze gamma spectra for the BECA/DALI program at NASA Goddard Space Flight Center
Development for peak detection at CXLS/CXFEL. Mainly focusing on deep learning CNN networks.
This is a custom fork of apLCMS containing adaptations for large scale studies.
Add-on implementation of frequency compensation for qcrypto.
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
A Java Library for Digital Signal Processing
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.
Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.
This is the git repository matching the Bioconductor package xcms: LC/MS and GC/MS Data Analysis
Code examples for using the originpro Python package to interact with Origin software.
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
Detection of favorable moments in time series data
Peak detection for untargeted metabolomics using Neural Network. High-level API based on peakonly by @Arseha.
ML tool to detect peaks in 1D XRD scattering data
Trend And PeAkS (TAPAS) analysis of temporal series (e.g. paleoecological records) to assess long-term trend and detect events (and eventually estimate event-return intervals)
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