Question: I'm looking for a no-code machine learning tool that can process multi-omics data for disease research.

If you're looking for a no-code machine learning tool to process multi-omics data for disease research, JADBio is a great option. It's designed to automate biomarker discovery and interpretation across multiple types of data, including genomics, transcriptome, metagenome, proteome, metabolome and more. JADBio can help researchers identify disease subtypes, monitor disease progression and evaluate patient treatment response, so it's a good option for a broad range of diseases.

Another good option is PI.EXCHANGE, which provides an AI & Analytics Engine for building predictive machine learning models with no programming. It covers the full ML pipeline, including data preparation, model development and deployment. It's designed for collaborative work, so it's good for individuals or teams, and there are different pricing levels for different use cases.

DataChat is another option. It's a no-code, generative AI platform that converts complex data into useful information through an interface that's like a familiar spreadsheet and chat software. It automates tasks like data prep and modeling, which can be useful for data scientists and analysts who need to make decisions fast and with confidence.

Last, Dataloop offers a powerful AI development platform that combines data curation, model management and pipeline orchestration. It can handle a variety of unstructured data types and offers automated preprocessing, so it's good for accelerating AI app development and collaboration within an organization.