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features
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support

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Description

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Description

alvaDesc is a cheminformatics tool designed for the computation and examination of molecular descriptors, fingerprints, and structural patterns, catering to QSAR, QSPR, read-across, and machine learning needs. It is capable of calculating over 5,000 molecular descriptors across various dimensions (0D–3D), which encompass constitutional, topological, geometrical, electronic, physicochemical, and fragment-based categories. In addition, the software produces molecular fingerprints and structural pattern counts that facilitate similarity analysis, clustering, and classification tasks. It comes equipped with integrated tools that allow for descriptor filtering and correlation analysis, ensuring that the modeling process is both robust and reproducible. Furthermore, alvaDesc offers seamless integration with KNIME and Python, making it easy to link with external data analysis and machine learning workflows. Its widespread use in both academic and industrial research is bolstered by comprehensive documentation and an array of scientific publications, which contribute to its reputation as a reliable resource in the field. Moreover, users appreciate its user-friendly interface that enhances the overall experience while conducting complex cheminformatics tasks.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

KNIME Analytics Platform No 
Python No 
alvaBuilder No 
alvaModel No 

Integrations

KNIME Analytics Platform Yes 
Python Yes 
alvaBuilder Yes 
alvaModel Yes 

Pricing Details

Free
Basic plan is FREE. Researchers plan starts at $400/mo
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

JADBio

Founded

2019

Country

United States

Website

jadbio.com

Vendor Details

Company Name

Alvascience

Founded

2018

Country

Italy

Website

www.alvascience.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare Yes 
Modeling & Simulation No 
Sentiment Analysis No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization Yes 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis Yes 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis Yes 

Product Features

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