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337 results
arxiv.org πŸ“… 2005 πŸ“° arXiv πŸ“„ PDF
Non-extensive Trends in the Size Distribution of Coding and Non-coding DNA Sequences in the Human Genome
πŸ‘€ Th. Oikonomou; A. Provata

We study the primary DNA structure of four of the most completely sequenced human chromosomes (including chromosome 19 which is the most dense in coding), using Non-extensive Statistics. We show that the exponents governing the decay of the coding size distributions vary between $5.2 \le r \le 5.7$ for the short scales…

q-bio.GN
DOI: 10.1140/epjb/e2006-00121-2
arxiv.org πŸ“… 2005 πŸ“° arXiv πŸ“„ PDF
Statistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast
πŸ‘€ Jelena Zivkovic; Bosiljka Tadic; Nikolaus Wick; Stefan Thurner

We analyze gene expression time-series data of yeast S. cerevisiae measured along two full cell-cycles. We quantify these data by using q-exponentials, gene expression ranking and a temporal mean-variance analysis. We construct gene interaction networks based on correlation coefficients and study the formation of the c…

q-bio.GN
DOI: 10.1140/epjb/e2006-00103-4
arxiv.org πŸ“… 2021 πŸ“° arXiv πŸ“„ PDF
A step toward a reinforcement learning de novo genome assembler
πŸ‘€ Kleber Padovani; Roberto Xavier; Rafael Cabral Borges; Andre Carvalho; Anna Reali; Annie Chateau; Ronnie Alves

De novo genome assembly is a relevant but computationally complex task in genomics. Although de novo assemblers have been used successfully in several genomics projects, there is still no 'best assembler', and the choice and setup of assemblers still rely on bioinformatics experts. Thus, as with other computationally c…

q-bio.GN cs.AI cs.LG
arxiv.org πŸ“… 2018 πŸ“° arXiv πŸ“„ PDF
Affinity-based extension of non-extensive entropy and statistical mechanics
πŸ‘€ Keisuke Okamura

Tsallis' non-extensive entropy is extended to incorporate the dependence on affinities between the microstates of a system. At the core of our construction of the extended entropy ($\mathcal{H}$) is the concept of the effective number of dissimilar states, termed the effective diversity ($\mathitΞ”$). It is a unique in…

q-bio.QM q-bio.PE
DOI: 10.1016/j.physa.2020.124849
arxiv.org πŸ“… 2022 πŸ“° arXiv πŸ“„ PDF
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
πŸ‘€ Vikash Gupta; Barbaros Selnur Erdal; Carolina Ramirez; Ralf Floca; Laurence Jackson; Brad Genereaux; Sidney Bryson; Christopher P Bridge; Jens Kleesiek; Felix Nensa; Rickmer Braren; Khaled Younis; Tobias Penzkofer; Andreas Michael Bucher; Ming Melvin Qin; Gigon Bae; Hyeonhoon Lee; M. Jorge Cardoso; Sebastien Ourselin; Eric Kerfoot; Rahul Choudhury; Richard D. White; Tessa Cook; David Bericat; Matthew Lungren; Risto Haukioja; Haris Shuaib

Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks. Because of the exponential growth in medical imaging data volume and complexity, the workload on radiologists is steadily increasing. We project that the gap between the number of imaging exams and the number of expert radiologist read…

cs.AI cs.CY eess.IV
arxiv.org πŸ“… 2007 πŸ“° arXiv πŸ“„ PDF
The Significance of the $C$-Numerical Range and the Local $C$-Numerical Range in Quantum Control and Quantum Information
πŸ‘€ Thomas Schulte-Herbrueggen; Gunther Dirr; Uwe Helmke; Steffen J. Glaser

This paper shows how C-numerical-range related new strucures may arise from practical problems in quantum control--and vice versa, how an understanding of these structures helps to tackle hot topics in quantum information. We start out with an overview on the role of C-numerical ranges in current research problems in…

math-ph quant-ph
DOI: 10.1080/03081080701544114
arxiv.org πŸ“… 2024 πŸ“° arXiv πŸ“„ PDF
pH-sensitive spontaneous decay of functionalised carbon dots in solutions
πŸ‘€ Denise Dilshener; Drew F. Parsons; Johannes Fiedler

Carbon quantum dots have become attractive in various applications, such as drug delivery, biological sensing, photocatalysis, and solar cells. Among these, pH sensing via luminescence lifetime measurements of surface-functionalised carbon dots is one application currently investigated for their long lifetime and auton…

physics.chem-ph
arxiv.org πŸ“… 2019 πŸ“° arXiv πŸ“„ PDF
The pH Dependence of Ultrafast Charge Dynamics in Graphene Oxide Dispersions
πŸ‘€ Georgia Kime; Kai-Ge Zhou; Samantha J. O. Hardman; Rahul R. Nair; Konstantin Sergeevich Novoselov; Daria V. Andreeva; David J. Binks

The pH dependence of emission from graphene oxide is believed to be due to the protonation of surface functional groups. In this study we use transient absorption spectroscopy to study the sub-picosecond charge dynamics in graphene oxide over a range of pH values, observing dynamics consistent with an excited state pro…

cond-mat.mtrl-sci physics.chem-ph
DOI: 10.1021/acs.jpcc.9b01060
arxiv.org πŸ“… 2023 πŸ“° arXiv πŸ“„ PDF
Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks
πŸ‘€ Hui Zhang; Xuexin An; Qiang He; Yudong Yao; Yudong Zhang; Feng-Lei Fan; Yueyang Teng

Gene regulatory relationships can be abstracted as a gene regulatory network (GRN), which plays a key role in characterizing complex cellular processes and pathways. Recently, graph neural networks (GNNs), as a class of deep learning models, have emerged as a useful tool to infer gene regulatory relationships from gene…

q-bio.MN cs.CE
arxiv.org πŸ“… 2019 πŸ“° arXiv πŸ“„ PDF
Deep Q-Learning for Nash Equilibria: Nash-DQN
πŸ‘€ Philippe Casgrain; Brian Ning; Sebastian Jaimungal

Model-free learning for multi-agent stochastic games is an active area of research. Existing reinforcement learning algorithms, however, are often restricted to zero-sum games, and are applicable only in small state-action spaces or other simplified settings. Here, we develop a new data efficient Deep-Q-learning method…

cs.LG cs.GT q-fin.CP stat.ML
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