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Graph classification has gained significant attention due to its applications in chemistry, social networks, and bioinformatics. While Graph Neural Networks (GNNs) effectively capture local structural patterns, they often overlook global…

Machine Learning · Computer Science 2025-12-03 Ahmet Sami Korkmaz , Selim Coskunuzer , Md Joshem Uddin

Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale. A large amount of genomic data is…

Machine Learning · Statistics 2020-05-11 Nanwei Wang , Laurent Briollais , Helene Massam

The connectional brain template (CBT) captures the shared traits across all individuals of a given population of brain connectomes, thereby acting as a fingerprint. Estimating a CBT from a population where brain graphs are derived from…

Neurons and Cognition · Quantitative Biology 2022-09-28 Ece Cinar , Sinem Elif Haseki , Alaa Bessadok , Islem Rekik

Graph Transformers have recently attracted attention for molecular property prediction by combining the inductive biases of graph neural networks (GNNs) with the global receptive field of Transformers. However, many existing hybrid…

Machine Learning · Computer Science 2026-04-09 Yi Yang , Ovidiu Daescu

In genome-scale constraint-based metabolic models, gene deletion strategies are essential for achieving growth-coupled production, where cell growth and target metabolite synthesis occur simultaneously. Despite the inherently networked…

Quantitative Methods · Quantitative Biology 2026-04-10 Ziwei Yang , Takeyuki Tamura

Comparison of human and chimpanzee genomes has received much attention, because of paramount role for understanding evolutionary step distinguishing us from our closest living relative. In order to contribute to insight into Y chromosome…

Genomics · Quantitative Biology 2011-10-11 Vladimir Paar , Matko Glunčić , Ivan Basar , Marija Rosandić , Petar Paar , Mislav Cvitković

We consider multivariate two-sample tests of means, where the location shift between the two populations is expected to be related to a known graph structure. An important application of such tests is the detection of differentially…

Quantitative Methods · Quantitative Biology 2014-05-16 Laurent Jacob , Pierre Neuvial , Sandrine Dudoit

As they carry great potential for modeling complex interactions, graph neural network (GNN)-based methods have been widely used to predict quantum mechanical properties of molecules. Most of the existing methods treat molecules as molecular…

Machine Learning · Computer Science 2020-09-29 Zeren Shui , George Karypis

DNA methylation is a crucial epigenetic marker used in various clocks to predict epigenetic age. However, many existing clocks fail to account for crucial information about CpG sites and their interrelationships, such as co-methylation…

Quantitative Methods · Quantitative Biology 2024-08-05 Saleh Sakib Ahmed , Nahian Shabab , Md. Abul Hassan Samee , M. Sohel Rahman

Multi-label chest X-ray (CXR) recognition involves simultaneously diagnosing and identifying multiple labels for different pathologies. Since pathological labels have rich information about their relationship to each other, modeling the…

Computer Vision and Pattern Recognition · Computer Science 2023-02-23 Guoli Wang , Pingping Wang , Jinyu Cong , Kunmeng Liu , Benzheng Wei

Exchange type chromosome aberrations (ETCAs) are rearrangements of the genome that occur when chromosomes break and the resulting fragments rejoin with other fragments from other chromosomes. ETCAs are commonly observed in cancer cells and…

Applications · Statistics 2014-06-03 Javier Arsuaga , Ido Heskia , Serkan Hosten , Tatsiana Maskalevich

Graph-based models have emerged as a powerful paradigm for modeling multimodal urban data and learning region representations for various downstream tasks. However, existing approaches face two major limitations. (1) They typically employ…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Yaya Zhao , Kaiqi Zhao , Zixuan Tang , Zhiyuan Liu , Xiaoling Lu , Yalei Du

It is generally assumed that all cells in models of the electrical behavior of cardiac tissue have the same properties. However, there are differences in cardiac cells that are not well characterized but cause spatial heterogeneity of the…

Tissues and Organs · Quantitative Biology 2024-12-11 Alejandro Nieto Ramos , Elizabeth M. Cherry

Coding information is the main source of heterogeneity (non-randomness) in the sequences of bacterial genomes. This information can be naturally modeled by analysing cluster structures in the "in-phase" triplet distributions of relatively…

Genomics · Quantitative Biology 2011-11-09 A. N. Gorban , T. G. Popova , A. Yu. Zinovyev

This study presents a multi-faceted approach combining stereotactic biopsy with standard clinical open-craniotomy for sample collection, voxel-wise analysis of MR images, regression-based Generalized Additive Models (GAM), & whole-exome…

Precise prognostic stratification of colorectal cancer (CRC) remains a major clinical challenge due to its high heterogeneity. The conventional TNM staging system is inadequate for personalized medicine. We aimed to develop and validate a…

Machine Learning · Computer Science 2025-11-20 Zisong Wang , Xuanyu Wang , Hang Chen , Haizhou Wang , Yuxin Chen , Yihang Xu , Yunhe Yuan , Lihuan Luo , Xitong Ling , Xiaoping Liu

Continuous Hand Gesture Recognition (CHGR) has been extensively studied by researchers in the last few decades. Recently, one model has been presented to deal with the challenge of the boundary detection of isolated gestures in a continuous…

Computer Vision and Pattern Recognition · Computer Science 2022-07-18 Razieh Rastgoo , Kourosh Kiani , Sergio Escalera

We examine the distribution of heterozygous sites in nine European and nine Yoruban individuals whose genomic sequences were made publicly available by Complete Genomics. We show that it is possible to obtain detailed information about…

Populations and Evolution · Quantitative Biology 2012-12-14 Joshua G. Schraiber , Stephannie Shih , Montgomery Slatkin

Due to the wide range of timescales that are present in macromolecular systems, hierarchical multiscale strategies are necessary for their computational study. Coarse-graining (CG) allows to establish a link between different system…

In medical imaging, chromosome straightening plays a significant role in the pathological study of chromosomes and in the development of cytogenetic maps. Whereas different approaches exist for the straightening task, typically geometric…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Sifan Song , Daiyun Huang , Yalun Hu , Chunxiao Yang , Jia Meng , Fei Ma , Frans Coenen , Jiaming Zhang , Jionglong Su