PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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Updated
Jan 7, 2021 - Python
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Curated List of Biomarkers, Blood Tests, and Blood Tracking
PANDORA - Predictive Analytics aNd Data Oriented Research Applications 💻
Profile RNA-seq data using published TB gene signatures
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
A Python package for the analysis of biopsychological data.
A prediction-based extension of network-based statistics.
🚀 Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology
A comprehensive R package for label-free proteomics data analysis and modeling
A Python-based compendium of GPU-optimized aging clocks.
G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)
Incidence Estimation Tools
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Ensemble Model Biomarker Analysis R package
🔎 Web-based Tool for Interacting with FOBI Ontology
Prognostic ML-models and key-feature extraction for analysis of cardiovascular complications
Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience
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