biomarker-discovery

yiluheihei/microbiomeMarker

R package for microbiome biomarker discovery

aldro61/kover

Learn interpretable computational phenotyping models from k-merized genomic data

kstawiski/OmicSelector

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.

MannLabs/OmicLearn

🧪 🖥 Transparent exploration of machine learning for biomarker discovery from proteomics and omics data

XSLiuLab/tumor-immunogenicity-score

TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020

nadeemlab/SPT

Spatial profiling toolbox for spatial characterization of tumor immune microenvironment in multiplex images

PathologyDataScience/HiPS

Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

nostalgia-cnt/vibe

👀 An all-purpose eye tracking web application and API for Alzheimer's disease research (3 tasks, <3 mins). 1st place in the 2021 CNT hackathon https://www.cnthackathon.org/

xinglab-ai/genomap

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

ocbe-uio/DIscBIO

A user-friendly R pipeline for biomarker discovery in single-cell transcriptomics

basiralab/reproducibleFedGNN

Investigating the reproducibility of federated GNN models

lpfann/fri

Python implementation of the feature relevance interval (FRI) algorithm

basiralab/FS-Select

FS-Select identifies the best feature selection (FS) method for a given dataset from a pool of FS methods.

Isy89/LBF

basiralab/netNorm

We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.

basiralab/netNorm-PY

netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.

fuad021/biomarker-identification

This repository is the author implementation of the paper "Biomarker Identification by Reversing the Learning Mechanism of Autoencoder and Recursive Feature Elimination"

CostaLab/CimpleG

CimpleG, an R package to find (small) CpG signatures.

nhejazi/biotmle

:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery

SCSE-Biomedical-Computing-Group/SHRED

Code implementation of SHRED variants

tomealbuquerque/multimodal-glioma-biomarkers-detection

Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI

euxhenh/phenotype-cover

A package for biomarker selection based on multiset multicover and the cross-entropy-method.

hmarvi/FeatureSelectionOptimizer

Different methods for optimizing state-of-the-art feature selection methods namely SVMRFE, HSICLASSO, and mRMR.

basiralab/NAGFS

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

himelmallick/Bayes_Review_ASA_BIOP

This repository houses all the analysis codes described in the Bayesian nonclinical review paper published in Communications in Statistics – Case Studies and Data Analysis.

pranjalpruthi/bhedi

βHΞDI (Biomarker-based Heuristic Engine for Dengue Identification) is a computational tool designed for the identification of Dengue virus serotypes in wastewater next-generation sequencing data.

AiPBAND/SDAE-biomarkers

Working towards deliverable 5.3

anjanatiha/Distributed-Machine-Learning-for-Bio-marker-Detection-from-Wearable-Sensor-Big-Data

Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data

ashmitan/DeepLearningInHealthcare

Objective of this project is to compare different machine learning models and deep learning neural networks. It also focusses on hyperparameter tuning and performance of deep learning neural network over machine learning. Dataset Used: Diabetes prediction

basiralab/NAGFS-PY

NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.

caravagnalab/INCOMMON

Inference of copy number and mutation multiplicity in oncology

jaeyunsung/RA_Autoantibodies_2023

MicrobialGenomics-IrsicaixaOrg/dar

dar: runs multiple differential abundance analysis methods and through a consensus strategy returns a set of differentially abundant features.

ryanquinnnelson/CMU-02718-Biomarker-Discovery-using-ML

Fall 2020 - Computational Medicine - course project

amatov/ResistanceBiomarkerAnalysis