Privacy-preserving generative deep neural networks support clinical data sharing
-
Updated
Apr 20, 2019 - Jupyter Notebook
#
supplement
Here are 21 public repositories matching this topic...
Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.
-
Updated
Dec 10, 2020 - Jupyter Notebook
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
data machine-learning research paper gene-expression dataset neural-networks methodology manuscript autoencoders denoising-autoencoders pseudomonas-aeruginosa supplement
-
Updated
May 26, 2016 - Python
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
machine-learning bioinformatics analysis cancer gene-expression rnaseq microarray normalization supplement
-
Updated
Mar 20, 2023 - HTML
PUG Bot to use with G5API
-
Updated
Dec 8, 2022 - Python
Supplement to the report in https://greenelab.github.io/czi-hca-report/
-
Updated
Dec 4, 2018 - R
This repository is in support of the PathCORE-T paper (https://doi.org/10.1101/147645). It contains all the code and necessary data/metadata to repeat all analyses in the paper.
-
Updated
Jun 6, 2018 - Jupyter Notebook
Scripts and data for re-creating TDM results.
-
Updated
Mar 16, 2016 - R
Case-control genetics datasets evolved to be epistatic
-
Updated
Aug 15, 2018 - PostScript
Evaluating the effect of technical sources of variability in large-scale gene expression compendia.
-
Updated
Apr 7, 2021 - Jupyter Notebook
Repository associated with Song et al. manuscript describing a Network-wide Association Study of ADNI Cohorts.
-
Updated
Jan 14, 2016 - Python
Methods to build a network of pathway co-occurrence relationships out of expression signatures extracted from transcriptomic compendia.
-
Updated
Oct 17, 2017 - Python
Forecast sales for 350+ supplement retail chain stores for next 2 months
python machine-learning jupyter machine-learning-algorithms jupyter-notebook regression python3 xgboost machinelearning python-3 jupyter-notebooks regression-models xgboost-algorithm regression-algorithms xgboost-regression sales-prediction supplement supplement-sales supplement-sales-prediction
-
Updated
Oct 14, 2021 - Jupyter Notebook
PUBLICATION: High-throughput analysis of adaptation using barcoded strains of Saccharomyces cerevisiae
-
Updated
Jun 11, 2021 - HTML
supplement kişisel doz hesaplama
pubmed protein kilo whey eaa supplement kafein kreatin beta-alanin bcaa sitrulin sitrulin-malat karnitin arjinin glutamin preworkout kilo-bazli supplement-doz-hesap kisisel-supplement-doz-hesaplama
-
Updated
Sep 4, 2025 - HTML
Medication and supplements combo is a system that checks if the entered medications or supplements can be taken together or needs to be taken separately. Some medications do not have dangerous effects but can cause problems for the body to absorb them. In the system the user enters name and age then chooses if he/she wants medication or suppleme…
-
Updated
Jun 28, 2021 - Java
This repository stores scripts and results for the case study in the ADAGE signature analysis paper.
-
Updated
May 30, 2017 - HTML
A Python application to track your supplements, their quantities, and calculate cost effectiveness.
dark-theme tkinter inventory-management pyinstaller management-system dark-mode ttk supplements file-associations supplement cost-calculation
-
Updated
Mar 1, 2025 - Python
30yearexp BV OpMgr Ships in Service, DaniaShipMgmt TechSupt, Svithoid Tankers TechOpMgr, LR Sen.Surveyor; Serv. RoyalSw.Navy parttime Techn.Officer (thr.prof.equivalency civil Marine Eng/STCW/supplemented.mil.train-and followed by a beneficial decision regarding permanent off. reserve rank & status); C/E(Restr.) civil ships
-
Updated
Feb 28, 2026
Improve this page
Add a description, image, and links to the supplement topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the supplement topic, visit your repo's landing page and select "manage topics."