Unleashing the Power of Data Analysis with Isalos Analytics Platform

Isalos Analytics Platform signifies a transformative shift in the approach to data analysis and machine learning for individuals lacking technical expertise. Designed with a zero-code philosophy, this versatile platform empowers users to navigate complex data landscapes effortlessly. From importing data to deploying models, Isalos integrates every step into a smooth, user-friendly experience with its core features being zero code, spreadsheet interface, workflow automation, and versatile environment.

Zero Code: Democratizing Data Science

At its core Isalos Analytics, is committed to democratising access to sophisticated analytical tools. The platform’s zero-code approach eliminates the traditional barriers, allowing users without programming skills to perform advanced data manipulations and analyses. Whether working in cheminformatics, bioinformatics, or nanoinformatics, Isalos provides a range of machine learning algorithms all accessible via an intuitive graphical user interface (GUI). This GUI guides users through each step of the process, from data cleaning and transformation to model development and validation, ensuring a smooth and efficient workflow.

Figure 1 Overview of Isalos Analytics Plarform.

Spreadsheet Interface: Familiar and Powerful

The Isalos Analytics Platform employs a spreadsheet interface to provide a familiar and powerful environment for data interaction. Users can import and export data in various formats directly into the platform, making it easy to integrate with existing data sources and workflows. The spreadsheet interface acts as a central node where data is processed, transformed, and visualized. This approach not only simplifies the analytical process but also enhances data manipulation capabilities, allowing users to filter, sort, and aggregate data with ease.

Workflow Automation: Streamlining Analytical Processes

Isalos excels in automating repetitive and complex tasks, streamlining your analytical processes. The platform’s workflow automation capabilities allow users to design and execute workflows that include data preprocessing, model training, and validation steps. Each step in the workflow is represented as a tab or node, providing a clear visual representation of the process. This design not only aids in understanding but also in modifying workflows as needed, ensuring that the analytical process remains flexible and adaptable.

Versatile Environment: Broad Applications and Robust Features

The versatility of Isalos Analytics is one of its standout features supporting a range of applications, from predictive modelling and data visualization to clustering, classification, and regression. The platform’s toolset includes:

• Data Preprocessing Tools: Ensure your data is in optimal condition for analysis through normalization, variable selection, and transformation functions.
• Model Development and Validation: Utilize robust machine learning algorithms and statistical methods to develop and validate models, adhering to established principles such as those from the OECD.
• Visualization Capabilities: Create insightful visualizations, including charts, graphs, and maps, to explore data and communicate findings effectively.
• Model Deployment and Sharing: Deploy models and share them with stakeholders, promoting collaboration and data-driven decision-making.

Case Study Example

In a recent study, Isalos was utilised to assess the toxicity of NPs on various cell lines, including bronchial epithelial and murine myeloid. A dataset of 26 metal oxides using key descriptors such as core size, chemical potential, and enthalpy of formation was analysed. By employing the k-nearest neighbor (kNN) algorithm, Isalos facilitated the development of a highly predictive (Q)SAR model, achieving impressive results with 92.9% accuracy, 88.9% sensitivity, and 100% specificity, demonstrating a strong correlation between predicted and observed toxicity values.

This example showcases Isalos as a reliable method for predicting NP toxicity, crucial for their safe design and application in fields like cosmetics, water treatment, and electronics. Using Isalos, researchers can efficiently develop models that enhance the understanding of nanoparticle behavior and its impact on health and the environment. For more info, refer to the following paper https://doi.org/10.1007/s11224-021-01869-w.

Conclusion

The Isalos Analytics Platform bridges the gap between complex data analysis and user accessibility. By eliminating the need for coding, providing a familiar spreadsheet interface, and offering robust workflow automation, Isalos empowers users to unlock the full potential of their data. Whether you are a researcher, analyst, or decision-maker, Isalos equips you with the tools needed to transform data into actionable insights.

For more information or to request a demo, please contact us at info@novamechanics.com or visit our website at www.novamechanics.com. You can also visit the site of Isalos Analytics Platform at https://isalos.novamechanics.com/.