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...
Unlocking the power of AI models: exploring protein folding prediction through comparative analysis [0.03%]
解锁AI模型的力量：通过比较分析探索蛋白质折叠预测
Paloma Tejera-Nevado,Emilio Serrano,Ana González-Herrero et al.
Paloma Tejera-Nevado et al.
Protein structure determination has made progress with the aid of deep learning models, enabling the prediction of protein folding from protein sequences. However, obtaining accurate predictions becomes essential in certain cases where the ...
The simulation experiment description markup language (SED-ML): language specification for level 1 version 5 [0.03%]
模拟实验描述标记语言（SED-ML）：第1版第5次修订的规范说明
Lucian P Smith,Frank T Bergmann,Alan Garny et al.
Lucian P Smith et al.
Modern biological research is increasingly informed by computational simulation experiments, which necessitate the development of methods for annotating, archiving, sharing, and reproducing the conducted experiments. These simulations incre...
Auto-phylo v2 and auto-phylo-pipeliner: building advanced, flexible, and reusable pipelines for phylogenetic inferences, estimation of variability levels and identification of positively selected amino acid sites [0.03%]
Auto-phylo v2和auto-phylo-pipeliner：构建高级、灵活且可重用的管道进行系统发育推断、变异水平估计以及识别正向选择氨基酸位点
Hugo López-Fernández,Miguel Pinto,Cristina P Vieira et al.
Hugo López-Fernández et al.
The vast amount of genome sequence data that is available, and that is predicted to drastically increase in the near future, can only be efficiently dealt with by building automated pipelines. Indeed, the Earth Biogenome Project will produc...
MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps [0.03%]
MetaLo：从分子相互作用图中提取的逻辑模型的代谢分析
Sahar Aghakhani,Anna Niarakis,Sylvain Soliman
Sahar Aghakhani
Molecular interaction maps (MIMs) are static graphical representations depicting complex biochemical networks that can be formalized using one of the Systems Biology Graphical Notation languages. Regardless of their extensive coverage of va...