RNA & multi-omics evidence
Molecular measurements help describe biological state. Study design, tissue context, and clinical metadata determine how those signals can be interpreted.
Research & evidence
Read the biology.
Test the hypothesis.
Our work connects RNA measurements, regulatory relationships, and biological context to investigate how disease changes under intervention.
Our scientific foundation
Biological signals.
Mechanistic questions.
We study the relationships that connect a molecular observation to a testable explanation of disease or treatment response.
Eigen-1
Our regulatory foundation model is being developed to investigate the programs that organize biological behavior and their response to perturbation.
EigenField
Our multi-omics knowledge graph connects biological entities, regulatory relationships, and supporting evidence for mechanistic investigation.
Publications & preprints
The work behind
the questions.
Read the methods, study context, and findings in the original research.
Preprints are preliminary research reports. Inclusion here does not indicate peer review or establish clinical validity or utility.
A Biologically Grounded Structural Causal Model Enables cfRNA Specific In-Context Learning
Investigates whether synthetic training tasks that reflect cfRNA’s biological and statistical structure can improve in-context learning on cancer classification datasets.
Read preprint on bioRxivcfRNA Codex: Integrated Cell-Free RNA Expression Atlas Across Diseases and States
Describes a curated catalog of public circulating RNA studies, with sequencing data, expression matrices, and study metadata to support exploration and replication.
Read preprint on ResearchGateBeyond Annotation: Leveraging Raw RNA-seq Reads via Foundation models for Multi-Cancer Early Detection
Explores learning directly from raw RNA sequencing reads to study cancer-associated signals, including information outside conventionally annotated genes.
Read preprint on ResearchGateOpen questions. Shared progress.
Build on the science.
Research resource
cfRNA Codex
A resource for exploring circulating RNA datasets across diseases and biological states.
Explore cfRNA CodexScientific collaborationBring a question.
Discuss a research problem, a dataset, or a study that could advance the understanding of treatment response.
Discuss a collaborationFrom inference to evidence
A hypothesis earns
its next experiment.
A useful model makes its assumptions open to investigation.
We connect computational inference with literature, expert review, and focused experimental validation. Evidence quality and uncertainty shape which questions should move forward.
This foundation supports our two businesses: Foundry for drug discovery and development, and Eigen Insights for Data & AI training, ORIGIN and Paladin. Each application has its own evidence requirements and human review.
Contact Eigen Bio
Make the next question testable.
Connect with Eigen Bio about research, datasets, or a scientific collaboration.