4 citations · 6 across the 6 of their papers we have counts for
8 papers
OmicSync: Reliability-Aware Spatial Multi-Omics Clustering with Evidence-Constrained LLM Reasoning
Rabeya Tus Sadia, Qiang Ye, Qiang Cheng
Spatial multi-omics technologies jointly profile gene expression, surface proteins, and histology at each tissue spot, yet most spatial domain discovery methods provide only cluste…
CrossLLM-Mamba: Multimodal State Space Fusion of LLMs for RNA Interaction Prediction
Rabeya Tus Sadia, Qiang Ye, Qiang Cheng
Accurate prediction of RNA-associated interactions is essential for understanding cellular regulation and advancing drug discovery. While Biological Large Language Models (BioLLMs)…
CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction
Rabeya Tus Sadia, Qiang Cheng
Predicting the success of start-up companies, defined as achieving an exit through acquisition or IPO, is a critical problem in entrepreneurship and innovation research. Datasets s…
DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
Rabeya Tus Sadia, Qiang Cheng
Microbiome data analysis is essential for understanding host health and disease, yet its inherent sparsity and noise pose major challenges for accurate imputation, hindering downst…
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
Rabeya Tus Sadia, Md Atik Ahamed, Qiang Cheng
The integration of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data is crucial for understanding gene expression in spatial context. Existing methods fo…
Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images
Rabeya Tus Sadia, Jie Zhang, Jin Chen
Various imaging modalities are used in patient diagnosis, each offering unique advantages and valuable insights into anatomy and pathology. Computed Tomography (CT) is crucial in d…
Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning
Md. Atik Ahamed, Rabeya Tus Sadia
Distinguishing normal from malignant and determining the tumor type are critical components of brain tumor diagnosis. Two different kinds of dataset are investigated using state-of…
N-gram Statistical Stemmer for Bangla Corpus
Rabeya Sadia, Md Ataur Rahman, Md Hanif Seddiqui
Stemming is a process that can be utilized to trim inflected words to stem or root form. It is useful for enhancing the retrieval effectiveness, especially for text search in order…