EasyCGTree: a pipeline for prokaryotic phylogenomic analysis based on core gene sets [0.03%]
基于核心基因集的细菌和古菌系统基因组分析流程 EasyCGTree
Dao-Feng Zhang,Wei He,Zongze Shao et al.
Dao-Feng Zhang et al.
Background: Genome-scale phylogenetic analysis based on core gene sets is routinely used in microbiological research. However, the techniques are still not approachable for individuals with little bioinformatics experienc...
Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines [0.03%]
公平的图像分割评估工具包定量区分最新算法和工作流程的区别
Vishakha Goyal,Nick J Schaub,Ty C Voss et al.
Vishakha Goyal et al.
Background: Image segmentation pipelines are commonly used in microscopy to identify cellular compartments like nucleus and cytoplasm, but there are few standards for comparing segmentation accuracy across pipelines. The ...
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations [0.03%]
LifEX-EPIV：一个稳健有效的心脏电生理模拟软件
Pasquale Claudio Africa,Roberto Piersanti,Francesco Regazzoni et al.
Pasquale Claudio Africa et al.
Background: Simulating the cardiac function requires the numerical solution of multi-physics and multi-scale mathematical models. This underscores the need for streamlined, accurate, and high-performance computational too...
cgMSI: pathogen detection within species from nanopore metagenomic sequencing data [0.03%]
基于纳米孔测序数据的病原微生物鉴定方法cgMSI
Xu Zhu,Lili Zhao,Lihong Huang et al.
Xu Zhu et al.
Background: Metagenomic sequencing is an unbiased approach that can potentially detect all the known and unidentified strains in pathogen detection. Recently, nanopore sequencing has been emerging as a highly potential to...
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem [0.03%]
基于最小化假阴性率的CNN主流架构的重构及性能分析：用于临床图像黑色素瘤检测问题
Luigi Di Biasi,Fabiola De Marco,Alessia Auriemma Citarella et al.
Luigi Di Biasi et al.
Background: Melanoma is one of the deadliest tumors in the world. Early detection is critical for first-line therapy in this tumor pathology and it remains challenging due to the need for histological analysis to ensure c...
disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data [0.03%]
disperseNN2：一种用于根据地理参考多态性数据估计扩散距离的神经网络
Chris C R Smith,Andrew D Kern
Chris C R Smith
Spatial genetic variation is shaped in part by an organism's dispersal ability. We present a deep learning tool, disperseNN2, for estimating the mean per-generation dispersal distance from georeferenced polymorphism data. Our neural network...
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network [0.03%]
基于网络的癌症特异性驱动错义突变预测方法使用图形神经网络
Narumi Hatano,Mayumi Kamada,Ryosuke Kojima et al.
Narumi Hatano et al.
Background: In cancer genomic medicine, finding driver mutations involved in cancer development and tumor growth is crucial. Machine-learning methods to predict driver missense mutations have been developed because varian...
MSXFGP: combining improved sparrow search algorithm with XGBoost for enhanced genomic prediction [0.03%]
结合改进的麻雀搜索算法与XGBoost以增强基因组预测的MSXFGP方法
Ganghui Zhou,Jing Gao,Dongshi Zuo et al.
Ganghui Zhou et al.
Background: With the significant reduction in the cost of high-throughput sequencing technology, genomic selection technology has been rapidly developed in the field of plant breeding. Although numerous genomic selection ...
New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits [0.03%]
同时与数量性和质量性状相关的基因变异的选择方法研究的新统计学方法
Kipoong Kim,Tae-Hwan Jun,Bo-Keun Ha et al.
Kipoong Kim et al.
Background: Identification of pleiotropic variants associated with multiple phenotypic traits has received increasing attention in genetic association studies. Overlapping genetic associations from multiple traits help to...
Multimodal hybrid convolutional neural network based brain tumor grade classification [0.03%]
基于多模态混合卷积神经网络的脑肿瘤分级分类
A Rohini,Carol Praveen,Sandeep Kumar Mathivanan et al.
A Rohini et al.
An abnormal growth or fatty mass of cells in the brain is called a tumor. They can be either healthy (normal) or become cancerous, depending on the structure of their cells. This can result in increased pressure within the cranium, potentia...