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Machine learning-based unfolding has enabled unbinned and high-dimensional differential cross section measurements. Two main approaches have emerged in this research area: one based on discriminative models and one based on generative…

高能物理 - 唯象学 · 物理学 2026-03-27 Sascha Diefenbacher , Guan-Horng Liu , Vinicius Mikuni , Benjamin Nachman , Weili Nie

Understanding the spatial organisation of the genome in the cell nucleus is one of the current grand challenges in biophysics. Certain biochemical -- or epigenetic -- marks that are deposited along the genome are thought to play an…

软凝聚态物质 · 物理学 2020-01-08 Davide Michieletto , Davide Colí , Davide Marenduzzo , Enzo Orlandini

The phage $\lambda$ infection of an \textit{E. coli} cell has become a paradigm for understanding the molecular processes involved in gene expression and cell signaling. This system provides an example of a genetic switch, as cells with…

生物物理 · 物理学 2012-04-10 Nathan Borggren

{\it Transcription} is the process whereby RNA molecules are polymerized by molecular machines, called RNA polymerase (RNAP), using the corresponding DNA as the template. Recent {\it in-vivo} experiments with single cells have established…

生物物理 · 物理学 2009-11-13 Tripti Tripathi , Debashish Chowdhury

We investigate a multiphase Cahn-Hilliard model for tumor growth with general source terms. The multiphase approach allows us to consider multiple cell types and multiple chemical species (oxygen and/or nutrients) that are consumed by the…

偏微分方程分析 · 数学 2022-06-22 Patrik Knopf , Andrea Signori

In the protein sequence space, natural proteins form clusters of families which are characterized by their unique native folds whereas the great majority of random polypeptides are neither clustered nor foldable to unique structures. Since…

生物大分子 · 定量生物学 2018-02-06 Akira R. Kinjo

We perform a phase-space analysis of strong-field enhanced ionisation in molecules, with emphasis on quantum-interference effects. Using Wigner quasi-probability distributions and the quantum Liouville equation, we show that the momentum…

原子物理 · 物理学 2019-07-30 H. Chomet , D. Sarkar , C. Figueira de Morisson Faria

We consider a phenotype-structured reaction-diffusion model of avascular glioma growth. The model describes the interaction dynamics between tumour cells and oxygen, and takes into account anisotropic cell movement and oxygen diffusion…

种群与进化 · 定量生物学 2025-09-29 Francesca Ballatore , Xinran Ruan , Chiara Giverso , Tommaso Lorenzi

Initiation and development of a malignant tumor is a complex phenomenon that has critical stages determining its long time behavior. This phenomenon is mathematically described by means of various models: from simple heuristic models to…

种群与进化 · 定量生物学 2020-03-23 Yuri Kozitsky , Krzysztof Pilorz

In recent years, cancer genome sequencing and other high-throughput studies of cancer genomes have generated many notable discoveries. In this review, Novel genomic alteration mechanisms, such as chromothripsis (chromosomal crisis) and…

基因组学 · 定量生物学 2014-09-12 Edwin Wang

Cancer has been characterized as a constellation of hundreds of diseases differing in underlying mutations and depending on cellular environments. Carcinogenesis as a stochastic physical process has been studied for over sixty years, but…

组织与器官 · 定量生物学 2015-06-02 Carson C. Chow , Yanjun Li , Vipul Periwal

Accurate prediction of cancer progression remains a challenge due to the high heterogeneity of molecular omics data across patients. While biologically informed models have improved the interpretability of these predictions, a persistent…

机器学习 · 计算机科学 2026-04-21 Koushik Howlader , Md Tauhidul Islam , Wei Le

An explicit solution for a general two-type birth-death branching process with one way mutation is presented. This continuous time process mimics the evolution of resistance to treatment, or the onset of an extra driver mutation during…

种群与进化 · 定量生物学 2012-04-20 Tibor Antal , P. L. Krapivsky

Multitype branching processes are ideal for studying the population dynamics of stem cell populations undergoing mutation accumulation over the years following transplant. In such stochastic models, several quantities are of clinical…

种群与进化 · 定量生物学 2021-11-17 Timothy C Stutz , Janet S. Sinsheimer , Mary Sehl , Jason Xu

Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial increase of network plasticity is followed by a decrease of…

Protein folding is a phenomenon that has been studied for about 50 years and still remains as an unsolved problem. The main feature of this process is that it occurs as an all or none process, so a protein, can jump directly between folded…

生物大分子 · 定量生物学 2020-09-07 German Mino-Galaz

In this study, we provide a dynamical systems perspective to the modelling of pathological states induced by tumors or infection. A unified disease model is established using the innate immune system as the reference point. We propose a…

适应与自组织系统 · 物理学 2021-11-18 Jakub Sawicki , Rico Berner , Thomas Löser , Eckehard Schöll

Mutations in the epidermal growth factor receptor (EGFR) are common in non-small cell lung cancer (NSCLC), particularly in never-smoker patients. However, these mutations are not always carcinogenic, and have recently been reported in…

How proteins fold remains a central unsolved problem in biology. While the idea of a folding code embedded in the amino acid sequence was introduced more than 6 decades ago, this code remains undefined. While we now have powerful predictive…

生物大分子 · 定量生物学 2025-11-04 Carlos Bustamante , Christian Kaiser , Erik Lindahl , Robert Sosa , Giovanni Volpe

Carcinogenesis is a complex process that involves dynamically inter-connected modular sub-networks that evolve under the influence of micro-environmentally induced perturbations, in non-random, pseudo-Markov chain processes. An appropriate…

其他定量生物学 · 定量生物学 2007-05-23 I. C. Baianu