24 citations · 24 across the 7 of their papers we have counts for
8 papers
Missing-Modality-Aware Graph Neural Network for Cancer Classification
Sina Tabakhi, Chen, Haiping Lu
A key challenge in learning from multimodal biological data is missing modalities, where data from one or more modalities are absent for some patients. Existing approaches either e…
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang +12
In cancer therapeutics, protein-metal binding mechanisms critically govern the pharmacokinetics and targeting efficacy of drugs, thereby fundamentally shaping the rational design o…
Towards deployment-centric multimodal AI beyond vision and language
Xianyuan Liu, Jiayang Zhang, Shuo Zhou +45
Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as h…
Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
Jiayang Zhang, Xianyuan Liu, Wei Wu +6
Virus-like particles (VLPs) are valuable for vaccine development due to their immune-triggering properties. Understanding their stoichiometry, the number of protein subunits to for…
Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu +3
Understanding protein-metal interactions is central to structural biology, with metal ions being vital for catalysis, stability, and signal transduction. Predicting metal-binding r…
Heterogeneous graph attention network improves cancer multiomics integration
Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery +1
The increase in high-dimensional multiomics data demands advanced integration models to capture the complexity of human diseases. Graph-based deep learning integration models, desp…
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment
Prasun C Tripathi, Sina Tabakhi, Mohammod N I Suvon +5
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered…
Multimodal Learning for Multi-Omics: A Survey
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian +1
With advanced imaging, sequencing, and profiling technologies, multiple omics data become increasingly available and hold promises for many healthcare applications such as cancer d…