Research map / Vision-language and multimodal / Cross-modal learning

scMAF: Single-Cell Multi-Omics Clustering via Adaptive Modality Fusion

NeurIPS 2026 · Vision-language and multimodal › Cross-modal learning · approach: Medical multimodal fusion

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Proposes scMAF, a single-cell multi-omics clustering method that adaptively fuses modalities so that more informative modalities are not diluted by less informative ones.

Problem

Integrating single-cell multi-omics modalities for clustering is hindered because modalities carry varying discriminative signal across cell types, and naive fusion can dilute or obscure the more informative modalities.

Approach

Adaptive modality fusion that weights modalities according to their discriminative informativeness per cell type, rather than fusing them uniformly; only the abstract is available so details beyond this are not stated.

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