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Modality

Definition
AI-generated

In machine learning, a modality is a distinct input or output channel or data type—unstructured text, base-level sequence, imaging grids, waveforms, clinical codes, single-cell count matrices—each usually encoded by its own preprocessor or encoder before fusion in a multimodal model.

Topics
LLM and Agents Machine learning concepts
Related
Multimodal Model Embedding Genome-Wide Association Study (GWAS)

Why it matters in GWAS

Integrating omics, imaging, and text in one model raises questions of batch effects, population structure, and label definition per channel; SNP-based association remains the standard for estimating genetic effects even when auxiliary modalities improve phenotyping.

Example usage

"We treated methylation beta values as one modality and PRS bins as another, fusing only after separate missingness QC per type."

Multimodal Model Embedding Genome-Wide Association Study (GWAS) Polygenic Risk Score (PRS)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Baltrušaitis T, Ahuja C, Morency LP. (2018). Multimodal machine learning: a survey and taxonomy. IEEE TPAMI.
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