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Mathematical modelling has a long history in the context of collective cell migration, with applications throughout development, disease and regenerative medicine. The aim of modelling in this context is to provide a framework in which to…

Quantitative Methods · Quantitative Biology 2025-06-24 Ruth E. Baker , Rebecca M. Crossley , Carles Falco , Simon F. Martina-Perez

Complex biological systems are very robust to genetic and environmental changes at all levels of organization. Many biological functions of Escherichia coli metabolism can be sustained against single-gene or even multiple-gene mutations by…

Molecular Networks · Quantitative Biology 2007-08-30 Pan-Jun Kim , Dong-Yup Lee , Tae Yong Kim , Kwang Ho Lee , Hawoong Jeong , Sang Yup Lee , Sunwon Park

The increasing amount of research data provides the opportunity to link and integrate data to create novel hypotheses, to repeat experiments or to compare recent data to data collected at a different time or place. However, recent studies…

Information Retrieval · Computer Science 2021-06-09 Felicitas Löffler , Valentin Wesp , Birgitta König-Ries , Friederike Klan

A database is under construction to provide a complete collection of published basic properties of hypernuclei such as {\Lambda} binding energies, lifetimes, or excitation energies. From these values, averages with related errors are…

While meta-analytic research is performed, it becomes time-consuming to filter through the sheer amount of sources made available by individual databases and search engines and therefore degrades the specificity of source analysis. This…

Information Retrieval · Computer Science 2020-08-05 Ananth Goyal

Bone age assessment is a task performed daily in hospitals worldwide. This involves a clinician estimating the age of a patient from a radiograph of the non-dominant hand. Our approach to automated bone age assessment is to modularise the…

Machine Learning · Computer Science 2014-06-19 Anthony Bagnall , Luke Davis

Understanding the pathways through which diet affects human metabolism is a central task in nutritional epidemiology. This article proposes novel methodology to identify food items associated with blood metabolites in two cohorts of…

The study of citation networks is of interest to the scientific community. However, the underlying mechanism driving individual citation behavior remains imperfectly understood, despite the recent proliferation of quantitative research…

Physics and Society · Physics 2021-11-03 Feng Hu , Lin Ma , Xiu-Xiu Zhan , Yinzuo Zhou , Chuang Liu , Haixing Zhao , Zi-Ke Zhang

To explore the mechanistic relationships between ageing, frailty and mortality, we developed a computational model in which possible health attributes are represented by the nodes of a complex network. Each node can be either damaged (i.e.…

Populations and Evolution · Quantitative Biology 2017-06-30 Andrew D. Rutenberg , Arnold B. Mitnitski , Spencer Farrell , Kenneth Rockwood

In this paper, we aim to automatically render aging faces in a personalized way. Basically, a set of age-group specific dictionaries are learned, where the dictionary bases corresponding to the same index yet from different dictionaries…

Computer Vision and Pattern Recognition · Computer Science 2015-10-23 Xiangbo Shu , Jinhui Tang , Hanjiang Lai , Luoqi Liu , Shuicheng Yan

In recent years, there are various methods of estimating Biological Age (BA) have been developed. Especially with the development of machine learning (ML), there are more and more types of BA predictions, and the accuracy has been greatly…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Zhaonian Zhang , Richard Jiang , Danny Crookes , Paul Chazot

A main challenge of data-driven sciences is how to make maximal use of the progressively expanding databases of experimental datasets in order to keep research cumulative. We introduce the idea of a modeling-based dataset retrieval engine…

Quantitative Methods · Quantitative Biology 2015-06-19 Ali Faisal , Jaakko Peltonen , Elisabeth Georgii , Johan Rung , Samuel Kaski

An aggregate data meta-analysis is a statistical method that pools the summary statistics of several selected studies to estimate the outcome of interest. When considering a continuous outcome, typically each study must report the same…

Methodology · Statistics 2022-06-22 Sean McGrath , XiaoFei Zhao , Zhi Zhen Qin , Russell Steele , Andrea Benedetti

This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient data. By processing patients` longitudinal health records…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Sulaiman Khan , Md. Rafiul Biswas , Zubair Shah

Metadata-the machine-readable descriptions of the data-are increasingly seen as crucial for describing the vast array of biomedical datasets that are currently being deposited in public repositories. While most public repositories have firm…

Identifying the interaction targets of bioactive compounds is a foundational element for deciphering their pharmacological effects. Target prediction algorithms equip researchers with an effective tool to rapidly scope and explore potential…

Machine Learning · Computer Science 2025-01-03 Haojie Wang , Zhe Zhang , Haotian Gao , Xiangying Zhang , Jingyuan Li , Zhihang Chen , Xinchong Chen , Yifei Qi , Yan Li , Renxiao Wang

Purpose: Factor analysis (FA) has become part and parcel in metabolic syndrome (MBS) research. Both exploration- and confirmation-driven factor analyzes are rampant. However, factor analytic results on MBS differ widely. A situation that is…

Applications · Statistics 2016-09-09 Carel F. W. Peeters , James Dziura , Floryt van Wesel

Many diseases cause significant changes to the concentrations of small molecules (aka metabolites) that appear in a person's biofluids, which means such diseases can often be readily detected from a person's "metabolic profile". This…

Motivation: Since susceptibility to diseases increases with age, studying aging gains importance. Analyses of gene expression or sequence data, which have been indispensable for investigating aging, have been limited to studying genes and…

Computational Engineering, Finance, and Science · Computer Science 2013-07-15 Fazle Elahi Faisal , Tijana Milenkovic

Despite the thousands of genes implicated in age-related phenotypes, effective interventions for aging remain elusive, a lack of advance rooted in the multifactorial nature of longevity and the functional interconnectedness of the molecular…

Molecular Networks · Quantitative Biology 2025-09-04 Bnaya Gross , Joseph Ehlert , Vadim N. Gladyshev , Joseph Loscalzo , Albert-László Barabási