arXiv Machine Learning July 17, 2026 By Chun-houh Chen, Shun-Chuan Chang, Chiun-How Kao, Yi-Ju Lee, Shang-Ying Shiu, Yin-Jing Tien, ShengLi Tzeng, Han-Ming Wu

cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data

Read the original on arXiv Machine Learning →

arXiv:2607. 15018v1 Announce Type: cross Abstract: High-dimensional categorical data arise in genetics, biomedicine, and the social sciences, yet visualization tools for such data remain far less developed than those for continuous variables.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data

arXiv:2608. 11269v1 Announce Type: cross Abstract: Omics datasets, particularly single-cell RNA sequencing data, are high-dimensional, sparse, noisy, and dominated by zero values, making faithful low-dimensional representation challenging.

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Cluster and then Embed: A Modular Approach for Visualization

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arXiv AI

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Agentic Authoring of Interactive Multiview Visualizations in Genomics

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arXiv Machine Learning

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arXiv Machine Learning

Jul 17

LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration

arXiv:2607. 14410v1 Announce Type: new Abstract: Spatially resolved omics studies increasingly combine transcriptomic and epigenomic assays, yet downstream analysis is often still performed using single-modality pipelines.

By Jagan Mohan Reddy Dwarampudi, Veena Kochat, Suresh Satpati, Kunal Rai, Tania Banerjee

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arXiv Machine Learning

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MS-COOT: Comparing Morse-Smale Complexes with Co-Optimal Transport

arXiv:2606. 08258v1 Announce Type: cross Abstract: Understanding and comparing structures in scalar fields is a central challenge in scientific visualization, with applications ranging from feature analysis to temporal and structural comparison.

By Guangyu Meng, Mingzhe Li, Erin Wolf Chambers

Related stories

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data

Cluster and then Embed: A Modular Approach for Visualization

Agentic Authoring of Interactive Multiview Visualizations in Genomics

When One Point Is Not Enough: Addressing Ambiguous Instances in Dimensionality Reduction by Splitting

LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration

MS-COOT: Comparing Morse-Smale Complexes with Co-Optimal Transport