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    JADBio Auto-ML (Container)

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    Sold by: JADBio 
    Automated Machine Learning for Life Science Research. Effortlessly make new discoveries and extract knowledge from publicly available or own-study data, without the need for coding or ML expertise.
    Listing Thumbnail

    JADBio Auto-ML (Container)

     Info
    Sold by: JADBio 

    Overview

    JADBio is a state-of-the-art, automated Machine Learning Platform, designed for Life Scientists. It enables you to effortlessly make new discoveries and extract knowledge from publicly available or own-study data, without the need for coding or ML expertise. Augment your team's capacity and productivity, by reducing multifold the time and cost of research data analysis.

    Our container-deployed product plans are designed to address the needs of entire insitutions geared toward Life Science research or larger (or multiple) teams of researchers (100+), working on several research projects concurrently, with a need for multiple analyses and fine tuning of results. The following advanced features are included:

    • Multiple Feature Selection - (Signatures)
    • Extensive Tuning of ML Pipelines and Algorithm Hyperparameters
    • Basic Data Pre-processing (Standardization, Constant Removal, Imputation)
    • Unlimited Model Export
    • Big Volume Data
    • Small sample / Unbalanced Data
    • API Access, enabling:
      • Image Analysis
      • Batch Analysis
      • SciKit Learn algorithm incorporation
    • Premium Support SLA
    • Machine Learning Consulting Hours

    Highlights

    • KNOWLEDGE DISCOVERY: Identifying the features and biomarkers that are predictive and important, what their role is, and assembling intuition on the molecular mechanisms involved, may often be more important than the predictive model itself for Life Scientists.
    • BIOTECH DATA SPECIFIC: JADBio is the only AutoML platform specifically designed for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of such data, like very low sample size and very high number of measured quantities that could reach to millions.
    • EASE & VALUE @ SCALE: JADBio empowers you to build bias-free, quality predictive models through automation. Augment your team's capacity and productivity, by running multiple analyses in a fraction of the time and cost, reducing the time and effort for biomarker discovery by up to 4,000x.

    Details

    Sold by

    Delivery method

    Delivery option
    EKS with Helm Chart

    Latest version

    Operating system
    Linux

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    JADBio Auto-ML (Container)

     Info
    Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.

    1-month contract (3)

     Info
    Dimension
    Description
    Cost/month
    Biotech
    200 Users/ML Consulting-25 Hrs/Platinum Support
    $44,997.00
    Pharma
    500 Users/ML Consulting-50 Hrs/Platinum Support
    $113,397.00
    Enterprise
    1000 Users/ML Consulting-100 Hrs/Platinum Support
    $224,997.00

    Vendor refund policy

    JADBio will consider refunds in cases that warrant it. For any issues regarding your subscription, please contact us at licenses@jadbio.com 

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    EKS with Helm Chart

    Supported services: Learn more 
    • Amazon EKS
    Helm chart

    Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.

    Version release notes

    N/A

    Additional details

    Usage instructions

    Requirements

    1. This product requires an internet connection to deploy properly
    2. Existing AWS account
    3. Terraform >=v1.2.0
    4. Helm >= 3.9.0
    5. Kubectl >= 1.21.0
    6. jq
    7. eksctl

    Download and configure JADBio

    1. Download jadbio on-premise installation folder from s3://test-on-premise/on-premise/
    • aws s3 sync s3://test-on-premise/on-premise/ on-premise
    • cd on-premise
    • chmod +x ./install.sh
    1. Edit terraform.tfvars to change the aws region, number and type of machines, admin password

    By default the installation works with plain http, if you want to enable https

    1. Import your certificate to the AWS Certificate Manager (same region with the cluster)
    2. Edit helm-jadbio/values.yaml mark ssl.enabled "true" and replace ssl.arn with the generated arn

    Install

    1. Open the jadbio-install-instructions.txt and follow the steps
    2. ./install.sh (Please note that the installation takes about 20 minutes)
    3. After installation, you will get a url as output, using it on browser you can access jadbio
    4. Before accessing jadbio you can check that all pods are running using kubectl get pods
    5. You can also obtain the application url executing kubectl get ingress

    Resources

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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