:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sadia, Rabeya Tus, Ye, Qiang, Cheng, Qiang
Format:	Preprint
Published:	2026
Subjects:	Genomics Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2602.22236
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction
by: Sadia, Rabeya Tus, et al.
Published: (2025)

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
by: Sadia, Rabeya Tus, et al.
Published: (2025)

DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
by: Sadia, Rabeya Tus, et al.
Published: (2025)

Leveraging State Space Models in Long Range Genomics
by: Popov, Matvei, et al.
Published: (2025)

Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data
by: Usman, Mohammad, et al.
Published: (2025)

Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction
by: Gustafsson, Fredrik K., et al.
Published: (2024)

Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction
by: Wang, Hongxiao, et al.
Published: (2024)

Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)

A Deep Learning Pipeline for Epilepsy Genomic Analysis Using GPT-2 XL and NVIDIA H100
by: Latif, Muhammad Omer, et al.
Published: (2025)

Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
by: Mehrizi, Rahil, et al.
Published: (2023)

Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images
by: Sadia, Rabeya Tus, et al.
Published: (2024)

Specialized Foundation Models Struggle to Beat Supervised Baselines
by: Xu, Zongzhe, et al.
Published: (2024)

GestaltMML: Enhancing Rare Genetic Disease Diagnosis through Multimodal Machine Learning Combining Facial Images and Clinical Texts
by: Wu, Da, et al.
Published: (2023)

Deep Pathomic Learning Defines Prognostic Subtypes and Molecular Drivers in Colorectal Cancer
by: Wang, Zisong, et al.
Published: (2025)

A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
by: Gindra, Rushin H., et al.
Published: (2025)

Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
by: Ma, Rong, et al.
Published: (2023)

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
by: Lin, Yuxiang, et al.
Published: (2024)

A Comprehensive Review on RNA Subcellular Localization Prediction
by: Zhang, Cece, et al.
Published: (2025)

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics
by: Han, Minghao, et al.
Published: (2024)

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
by: Jaume, Guillaume, et al.
Published: (2023)

QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis
by: Huang, Chao Hui
Published: (2024)

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
by: Huang, Tinglin, et al.
Published: (2025)

Deep Neural Network: An Efficient and Optimized Machine Learning Paradigm for Reducing Genome Sequencing Error
by: Kartriku, Ferdinand, et al.
Published: (2020)

scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders
by: Oh, Gyutaek, et al.
Published: (2025)

BarcodeMamba: State Space Models for Biodiversity Analysis
by: Gao, Tiancheng, et al.
Published: (2024)

Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection
by: Krishna, Akhila, et al.
Published: (2024)

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
by: Krishna, Akhila, et al.
Published: (2024)

CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
by: Wang, Zhen, et al.
Published: (2026)

PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
by: Huang, Xiaoshui, et al.
Published: (2025)

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective
by: Ge, Shuang, et al.
Published: (2024)

VAGUEGAN: Stealthy Poisoning and Backdoor Attacks on Image Generative Pipelines
by: Faisal, Mostafa Mohaimen Akand, et al.
Published: (2025)

GeneMamba: An Efficient and Effective Foundation Model on Single Cell Data
by: Qi, Cong, et al.
Published: (2025)

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
by: Chen, Ying, et al.
Published: (2024)

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
by: Wang, Enguang, et al.
Published: (2026)

MatMamba: A Matryoshka State Space Model
by: Shukla, Abhinav, et al.
Published: (2024)

End-to-End Multi-Modal Diffusion Mamba
by: Lu, Chunhao, et al.
Published: (2025)

DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
by: Zhou, Yifan, et al.
Published: (2025)

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
by: Zhu, Lianghui, et al.
Published: (2024)

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
by: Shihab, Ibne Farabi, et al.
Published: (2025)

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
by: Liang, Yuheng, et al.
Published: (2026)