Leonhard Med, a trusted research environment for processing sensitive research data [0.03%]
莱昂哈德梅德：一个受信任的研究环境，用于处理敏感研究数据
Michal J Okoniewski,Anna Wiegand,Diana Coman Schmid et al.
Michal J Okoniewski et al.
This paper provides an overview of the development and operation of the Leonhard Med Trusted Research Environment (TRE) at ETH Zurich. Leonhard Med gives scientific researchers the ability to securely work on sensitive research data. We giv...
Exploring animal behaviour multilayer networks in immersive environments - a conceptual framework [0.03%]
沉浸式环境中的动物行为多层网络探究——一个概念性框架
Stefan Paul Feyer,Bruno Pinaud,Karsten Klein et al.
Stefan Paul Feyer et al.
Animal behaviour is often modelled as networks, where, for example, the nodes are individuals of a group and the edges represent behaviour within this group. Different types of behaviours or behavioural categories are then modelled as diffe...
Inferences on the evolution of the ascorbic acid synthesis pathway in insects using Phylogenetic Tree Collapser (PTC), a tool for the automated collapsing of phylogenetic trees using taxonomic information [0.03%]
基于系统发育树的收缩利用分类信息自动收缩系统发生树的进化分析以研究昆虫抗坏血酸合成途径的演化
Daniel Glez-Peña,Hugo López-Fernández,Pedro Duque et al.
Daniel Glez-Peña et al.
When inferring the evolution of a gene/gene family, it is advisable to use all available coding sequences (CDS) from as many species genomes as possible in order to infer and date all gene duplications and losses. Nowadays, this means using...
Specifications of standards in systems and synthetic biology: status, developments, and tools in 2024 [0.03%]
系统与合成生物学中的标准规格：2024年的现状、发展和工具
Martin Golebiewski,Gary Bader,Padraig Gleeson et al.
Martin Golebiewski et al.
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction [0.03%]
用于改进自闭症谱系障碍深度学习网络的病例对照队列中的异常值检测
Daniel Martins,Maryam Abbasi,Conceição Egas et al.
Daniel Martins et al.
This study delves into the intricate genetic and clinical aspects of Schizophrenia, a complex mental disorder with uncertain etiology. Deep Learning (DL) holds promise for analyzing large genomic datasets to uncover new risk factors. Howeve...
Valentin Wesp,Lukas Scholz,Janine M Ziermann-Canabarro et al.
Valentin Wesp et al.
Collagens are structural proteins that are predominantly found in the extracellular matrix of multicellular animals, where they are mainly responsible for the stability and structural integrity of various tissues. All collagens contain poly...
Layout of anatomical structures and blood vessels based on the foundational model of anatomy [0.03%]
基于解剖学基础模型的解剖结构和血管布局
Niklas Gröne,Benjamin Grüneisen,Karsten Klein et al.
Niklas Gröne et al.
We present a method for the layout of anatomical structures and blood vessels based on information from the Foundational Model of Anatomy (FMA). Our approach integrates a novel vascular layout into the hierarchical treemap representation of...
Vicente Machaca,Valeria Goyzueta,María Graciel Cruz et al.
Vicente Machaca et al.
Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens. Moreover, Transformers are ...
MakeSBML: a tool for converting between Antimony and SBML [0.03%]
MakeSBML：一个用于在Antimony和SBML之间转换的工具
Bartholomew E Jardine,Lucian P Smith,Herbert M Sauro
Bartholomew E Jardine
We describe a web-based tool, MakeSBML (https://sys-bio.github.io/makesbml/), that provides an installation-free application for creating, editing, and searching the Biomodels repository for SBML-based models. MakeSBML is a client-based web...
SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem [0.03%]
SBMLToolkit.jl：一个Julia包，用于将SBML导入到SciML生态系统中
Paul F Lang,Anand Jain,Christopher Rackauckas
Paul F Lang
Julia is a general purpose programming language that was designed for simplifying and accelerating numerical analysis and computational science. In particular the Scientific Machine Learning (SciML) ecosystem of Julia packages includes fram...