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Biophysicists are modeling conformations of interphase chromosomes, often basing the strengths of interactions between segments distant on the genetic map on contact frequencies determined experimentally. Here, instead, we develop a…

Biomolecules · Quantitative Biology 2015-11-06 C. A. Brackley , J. Johnson , S. Kelly , P. R. Cook , D. Marenduzzo

Compound-protein pairs dominate FDA-approved drug-target pairs and the prediction of compound-protein affinity and contact (CPAC) could help accelerate drug discovery. In this study we consider proteins as multi-modal data including 1D…

Biomolecules · Quantitative Biology 2020-12-02 Yuning You , Yang Shen

We develop topological methods for analyzing difference topology experiments involving 3-string tangles. Difference topology is a novel technique used to unveil the structure of stable protein-DNA complexes involving two or more DNA…

Geometric Topology · Mathematics 2016-01-20 Isabel K. Darcy , John Luecke , Mariel Vazquez

Cross-Domain Recommendation (CDR) seeks to enable effective knowledge transfer across domains. Existing works rely on either representation alignment or transformation bridges, but they struggle on identifying domain-shared from…

Information Retrieval · Computer Science 2024-04-09 Jing Du , Zesheng Ye , Bin Guo , Zhiwen Yu , Lina Yao

The phase-separation occurring in a system of mutually interacting proteins that can bind on specific sites of a chromatin fiber is here investigated. This is achieved by means of extensive Molecular Dynamics simulations of a simple polymer…

Soft Condensed Matter · Physics 2020-10-16 Andrea M. Chiariello , Federico Corberi , Mario Salerno

With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosis is high. In clinical practice, the severeness of CAD is…

Cellular functions crucially depend on the precise execution of complex biochemical reactions taking place on the chromatin fiber in the tightly packed environment of the cell nucleus. Despite the availability of large data sets probing…

Quantitative Methods · Quantitative Biology 2023-03-17 Alex Chen Yi Zhang , Angelo Rosa , Guido Sanguinetti

DNA rearrangement processes recombine gene segments that are organized on the chromosome in a variety of ways. The segments can overlap, interleave or one may be a subsegment of another. We use directed graphs to represent segment…

Machine Learning · Statistics 2018-01-30 Mustafa Hajij , Nataša Jonoska , Denys Kukushkin , Masahico Saito

Persistent homology provides information about the lifetime of homology classes along a filtration of cell complexes. Persistence barcode is a graphical representation of such information. A filtration might be determined by time in a set…

Computer Vision and Pattern Recognition · Computer Science 2018-01-04 Rocio Gonzalez-Diaz , Maria-Jose Jimenez , Belen Medrano

Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into the surrounding backgrounds. Due to the intrinsic similarity between the camouflaged objects and the background region, it is extremely challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Siyuan Yao , Hao Sun , Tian-Zhu Xiang , Xiao Wang , Xiaochun Cao

Microscopic examination of slides prepared from tissue samples is the primary tool for detecting and classifying cancerous lesions, a process that is time-consuming and requires the expertise of experienced pathologists. Recent advances in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Saba Fatema , Brighton Nuwagira , Sayoni Chakraborty , Reyhan Gedik , Baris Coskunuzer

In this paper, we investigate that the normalized coordinate expression is a key factor as reliance on hand-crafted components in query-based detectors for temporal action detection (TAD). Despite significant advancements towards an…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Ho-Joong Kim , Jung-Ho Hong , Heejo Kong , Seong-Whan Lee

The identification of drug-target binding affinity (DTA) has attracted increasing attention in the drug discovery process due to the more specific interpretation than binary interaction prediction. Recently, numerous deep learning-based…

Machine Learning · Computer Science 2022-03-23 Zhaoyang Chu , Shichao Liu , Wen Zhang

Topological Data Analysis (TDA) is an emergent field that aims to discover topological information hidden in a dataset. TDA tools have been commonly used to create filters and topological descriptors to improve Machine Learning (ML)…

Machine Learning · Computer Science 2021-02-09 Rolando Kindelan , José Frías , Mauricio Cerda , Nancy Hitschfeld

Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been successfully applied to various domains such as nature language…

Computer Vision and Pattern Recognition · Computer Science 2016-04-08 Yanwei Cui , Laetitia Chapel , Sébastien Lefèvre

Chiral perturbation theory predicts that in quantum chromodynamics (QCD), light dynamical quarks suppress the gauge-field topological susceptibility of the vacuum. The degree of suppression depends on quark multiplicity and masses. It…

We study the combination of two recent coding approaches, in the context of DNA based data storage. Composite DNA alphabets leverage properties of the DNA synthesis and sequencing process. A composite symbol does not represent a single…

Information Theory · Computer Science 2026-05-20 Tomer Cohen , Eitan Yaakobi , Zohar Yakhini

Involved in mitotic condensation, interaction of transcriptional regulatory elements or isolation of structural domains, understanding loop formation is becoming a paradigm in the deciphering of chromatin architecture and its functional…

Quantitative Methods · Quantitative Biology 2024-09-17 Michaël Liefsoens , Timothy Földes , Maria Barbi

Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information. While learning-based methods can model sequence and structural…

Machine Learning · Computer Science 2024-06-26 Xi Xiao , Wentao Wang , Jiacheng Xie , Lijing Zhu , Gaofei Chen , Zhengji Li , Tianyang Wang , Min Xu

It is widely believed that the folding of the chromosome in the nucleus has a major effect on genetic expression. For example co-regulated genes in several species have been shown to colocalize in space despite being far away on the DNA…

Quantitative Methods · Quantitative Biology 2020-04-29 Guillaume Le Treut , François Képès , Henri Orland