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Dataset Information

Profiler: an open web platform for multi-omics analysis.


ABSTRACT:

Motivation

High-throughput multi-omics technologies produce increasingly large and heterogeneous datasets that are difficult to analyze without advanced computational expertise. Existing bioinformatics tools are often fragmented or limited to specific omics types, hindering reproducibility and accessibility. There is a critical need for an integrated, user-friendly, and scalable platform capable of supporting multi-omics analyses across different data modalities.

Results

We present Profiler, an open-source, modular platform that unifies data import, quality control, preprocessing, statistical testing, machine and deep learning, biomarker discovery, pathway and drug-target enrichment, and survival modeling within a single reproducible environment. Built in Python with Streaml

SUBMITTER: Zirem Y 

PROVIDER: S-EPMC12784250 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature