genular/pandora
Fork: 21 Star: 135 (更新于 2024-11-22 06:36:11)
license: NOASSERTION
Language: Vue .
PANDORA :computer:
最后发布版本: 2.0.0 ( 2023-07-26 22:46:35)
PANDORA
is a research platform developed and maintained by aTomic Lab. It leverages advanced statistical methodologies, many uniquely designed for high-dimensional data in biomedical research. PANDORA
supports predictive modeling, biomarker discovery, and comprehensive OMICS data analysis, contributing to new insights in systems biology.
Installation
PANDORA
can be installed using Docker, a pre-built version of the platform can be pulled from DockerHub. In order to run PANDORA
, users will first need to install Docker.
Requirements
Software:
- Windows, Linux or MacOS
-
Docker (
version 17.05
or later is required)
Minimum suggested hardware:
- 64GB RAM
- 8 CPU Cores / 16 threads with 3 GHz base frequency
Installing PANDORA
- Please open your favorite Terminal and run the command below. On Windows - open
Windows Power Shell
=> Click Start, type PowerShell, and then click Windows PowerShel
docker run --rm --detach --name genular --tty --interactive --env IS_DOCKER='true' --env TZ=Europe/London --oom-kill-disable --volume genular_frontend_latest:/var/www/genular/pandora --volume genular_backend_latest:/var/www/genular/pandora-backend --volume genular_data_latest:/mnt/usrdata --publish 3010:3010 --publish 3011:3011 --publish 3012:3012 --publish 3013:3013 genular/pandora:latest
PANDORA
will be downloaded and started, and it can be accessed via a web browser at http://localhost:3010
- If you get asked, please allow connections through your Windows Firewall.
Reinstalling PANDORA
To ensure a clean re-installation of PANDORA, follow these steps to remove the existing Docker container, images, and volumes associated with PANDORA. This process will remove all data and settings related to the previous PANDORA installation.
Identify the names or IDs of your PANDORA container(s), volume(s), and image(s). Use these commands to list entities:
- Containers:
docker ps
(for running) ordocker ps -a
(for all) - Images:
docker images
- Volumes:
docker volume ls
(Or use Docker GUI)
##############################################
#### 1) Stop and Remove Docker Containers ####
##############################################
# List all Docker container
docker ps
# Stop the Docker container
docker stop <CONTAINER_ID >
# Remove the Docker container if needed
# docker rm <CONTAINER_ID>
#################################
#### 2) Remove Docker Images ####
#################################
# List all Docker images
docker images
# Remove the Docker image
docker rmi <IMAGE_ID>
##################################
#### 3) Remove Docker Volumes ####
##################################
# List all Docker volumes
docker volume ls
# Remove all 3 specific Docker volumes
docker volume rm genular_frontend_latest genular_backend_latest genular_data_latest
## Now you can proceed with clean installation
Contributing, writing code
Contributions are very much welcome!
- Check out our public issues board. If your issue isn't on the board, open a new one.
- Pick an issue that nobody has claimed and start working on it.
- Fork the project (Need help forking a project?). You'll do all of your work on your forked copy.
- Create a branch specific to the issue or feature you are working on. Push your work on that branch (Need help with branching?).
- Name the branch something like
fixes-xxx-issue
oradd-xxx-feature
wherexxx
is a short description of the changes or feature you are adding. - Once your code is ready, submit a pull request from your branch to
PANDORA
master
branch. We'll do a quick review and give you feedback.
Reaching Out
If you'd like to start a conversation feel free to e-mail us. I would also like to hear from you if you find this project useful and helpful!
- Find us on Twitter under @tomicadriana
License
For more information please check LICENCE
file.
Citation
PANDORA
can be used for research purposes, you should cite
the aforementioned papers in any resulting publication.
Adriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis.
SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses
http://www.jimmunol.org/content/early/2019/06/13/jimmunol.1900033.abstract
doi: 10.4049/jimmunol.1900033
Adriana Tomic, Ivan Tomic, Levi Waldron, Ludwig Geistlinger, Max Kuhn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia Tomaras, Jennifer Hill, Niharika A. Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen D.R. Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, Mark M. Davis.
SIMON: Open-Source Knowledge Discovery Platform
https://www.cell.com/patterns/fulltext/S2666-3899(20)30242-7
doi:10.1016/j.patter.2020.100178
最近版本更新:(数据更新于 2024-09-03 11:29:41)
2023-07-26 22:46:35 2.0.0
2023-01-26 01:11:41 1.0.0
2022-11-25 02:18:00 0.3.0
2021-03-30 20:22:50 0.2.1
2021-01-25 23:29:56 0.2.0
2019-05-09 00:30:02 0.1.0
主题(topics):
bioinformatics, biomarkers, clinical-data, clustering, data-integration, data-mining, data-science, data-visualization, drug-discovery, genomic-data-analysis, machine-learning, microbiome, pandora, predictive-analytics, systems-biology, transcriptomics, tsne, umap, unsupervised-machine-learning
genular/pandora同语言 Vue最近更新仓库
2024-11-20 02:06:40 BewlyBewly/BewlyBewly
2024-11-18 01:20:01 VueTorrent/VueTorrent
2024-11-12 23:14:34 jxxghp/MoviePilot-Frontend
2024-11-11 14:59:22 vueComponent/ant-design-vue
2024-11-10 16:39:15 hslr-s/sun-panel
2024-11-03 10:21:12 LauZzL/leitingzhanji-ui