Curated List of Biomarkers, Blood Tests, and Blood Tracking

PANDORA 💻

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

A Python-based compendium of GPU-optimized aging clocks.

A Python package for the analysis of biopsychological data.

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

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.

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 prediction-based extension of network-based statistics.

A library for full-stack aging clocks design and benchmarking.

Mendelian Randomization with Biomarker Associations for Causality with Outcomes

Text mining cancer biomarkers for the CIVIC database

🚀 Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

A comprehensive R package for label-free proteomics data analysis and modeling

Data and statistical models for biomarker shedding.

Profile RNA-seq data using published TB gene signatures

A Python package to interact with fasting logs from apps like Zero.

G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)

R package BioPred