Audience
Life sciences, biomedical companies, pharmaceuticals, genomics, research labs
About JADBio AutoML
JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.
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Pricing
Starting Price:
Free
Pricing Details:
Basic plan is FREE. Researchers plan starts at $400/mo
Free Version:
Free Version available.
Integrations
API:
Yes, JADBio AutoML offers API access
No integrations listed.
Company Information
JADBio
Founded: 2019
United States
jadbio.com
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
24/7 Live Support
JADBio AutoML Frequently Asked Questions
JADBio AutoML Product Features
Machine Learning
ML Algorithm Library
Supported
Model Training
Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Visualization
Supported
Deep Learning
Not Supported
Natural Language Processing (NLP)
Not Supported
Templates
Not Supported
Predictive Analytics
AI / Machine Learning
Supported
For Healthcare
Supported
Benchmarking
Not Supported
Data Blending
Not Supported
Data Mining
Not Supported
Demand Forecasting
Not Supported
For Education
Not Supported
Modeling & Simulation
Not Supported
Sentiment Analysis
Not Supported
Qualitative Data Analysis
Data Visualization
Supported
Qualitative Comparative Analysis
Supported
User Research Analysis
Supported
Annotations
Not Supported
Collaboration
Not Supported
Media Analytics
Not Supported
Mixed Methods Research
Not Supported
Multi-Language
Not Supported
Quantitative Content Analysis
Not Supported
Sentiment Analysis
Not Supported
Statistical Analysis
Not Supported
Text Analytics
Not Supported
