From Showcase Projects to Guided Analysis: What You Can Already Do on the Platform

Big data is only useful when you can make sense of it.

That’s why we’re building a platform that helps researchers not just manage their biomedical data — but extract meaningful insights from it.

As development progresses, we’re gradually opening access to selected users. In this article, we offer a closer look at the platform’s current functionality — based on interactive demo datasets designed to showcase what’s already possible.

Explore Showcase Projects (Demo Mode)

At the current stage, the platform includes a series of curated datasets that demonstrate key capabilities across different areas of biomedical research — including oncology, immunology, and disease remission studies.

Each dataset comes with:

• A concise project summary and study context

• Information on input files (e.g., RNA-seq count data and metadata)

• Preconfigured starting points for interactive analysis

These datasets allow users to explore the full analysis workflow — even before custom data uploads become available.

A Guided, No-Code Analysis Flow

Once a dataset is selected, users can begin a new analysis by selecting or formulating a biological question. Examples include:

• What is the overall quality of the dataset?

• Which genes are differentially expressed between two conditions?

The platform then guides the user through a structured workflow, prompting only for relevant experimental parameters (e.g., condition labels, batch information). All statistical modules are pre-integrated and require no coding knowledge.

Visual Results with Context

Each analysis returns a series of tailored visualizations — designed to provide interpretable answers, not just raw outputs. Among others, the platform supports:

• Volcano plots for differential gene expression

• Quality control metrics via PCA or UMAP

• Interactive visualizations with zoom and hover features

• Downloadable image files in high resolution

The results are always linked to the specific research question — ensuring biological relevance and interpretability.

Current and Upcoming Features

The platform currently supports bulk RNA sequencing datasets. Upcoming releases will include support for single-cell RNA-seq, with further omics modalities to follow.

At this point, all data exploration is based on internal showcase projects. The ability to upload and analyze user-generated datasets is planned for a later stage of development.

Early Access & Feedback

We are currently granting early access to a limited group of researchers and collaborators.

📩 If you're interested, reach out via info@aimed-analytics.com.

Feedback from early users helps us improve the platform and shape its future. We look forward to hearing your questions, ideas, and suggestions.