Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data [0.03%]
基于大规模基因组数据的肺癌化疗响应分类及关键特征识别的管道设计
María Gabriela Valdés,Iván Galván-Femenía,Vicent Ribas Ripoll et al.
María Gabriela Valdés et al.
Background: During the last decade, the interest to apply machine learning algorithms to genomic data has increased in many bioinformatics applications. Analyzing this type of data entails difficulties for managing high-d...
BLASSO: integration of biological knowledge into a regularized linear model [0.03%]
基于生物先验知识的正则化线性模型集成算法
Daniel Urda,Francisco Aragón,Rocío Bautista et al.
Daniel Urda et al.
Background: In RNA-Seq gene expression analysis, a genetic signature or biomarker is defined as a subset of genes that is probably involved in a given complex human trait and usually provide predictive capabilities for th...
SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences [0.03%]
基于OpenCL的FPGA加速Smith-Waterman算法及其在长DNA序列比对中的应用
Enzo Rucci,Carlos Garcia,Guillermo Botella et al.
Enzo Rucci et al.
Background: The Smith-Waterman (SW) algorithm is the best choice for searching similar regions between two DNA or protein sequences. However, it may become impracticable in some contexts due to its high computational dema...
Advanced integration of fluid dynamics and photosynthetic reaction kinetics for microalgae culture systems [0.03%]
微藻培养系统的流体动力学与光合成反应动力学的先进集成技术研究进展
Stepan Papacek,Jiri Jablonsky,Karel Petera
Stepan Papacek
Background: Photosynthetic microalgae have been in the spotlight of biotechnological production (biofuels, lipids, etc), however, current barriers in mass cultivation of microalgae are limiting its successful industrializ...
Retraction Note: detangling PPI networks to uncover functionally meaningful clusters [0.03%]
撤回 notice: 解开蛋白质相互作用网络以揭示功能有意义的簇群
Sarah Hall-Swan,Jake Crawford,Rebecca Newman et al.
Sarah Hall-Swan et al.
The authors have retracted this article [1]. After publication they discovered a technical error in the Louvain algorithm with bounded cluster sizes. Correction of this error substantially changed the results for this algorithm and the conc...
Retraction of Publication
BMC systems biology. 2018 Nov 19;12(1):113. DOI:10.1186/s12918-018-0641-3 2018
Metabolic modeling and response surface analysis of an Escherichia coli strain engineered for shikimic acid production [0.03%]
用于莽草酸生产的工程大肠杆菌的代谢模型及响应面分析
Juan A Martínez,Alberto Rodriguez,Fabian Moreno et al.
Juan A Martínez et al.
Background: Classic metabolic engineering strategies often induce significant flux imbalances to microbial metabolism, causing undesirable outcomes such as suboptimal conversion of substrates to products. Several mathemat...
The anticancer mechanism investigation of Tanshinone IIA by pharmacological clustering in protein network [0.03%]
丹参素抗肿瘤机制的药理聚类及蛋白质网络研究
Yan-Feng Cao,Shi-Feng Wang,Xi Li et al.
Yan-Feng Cao et al.
Background: Cancer is the second most common cause of death globally. The anticancer effects of Tanshinone IIA (Tan IIA) has been confirmed by numerous researches. However, the underlying mechanism remained to be integrat...
Farrah Sadre-Marandi,Thabat Dahdoul,Michael C Reed et al.
Farrah Sadre-Marandi et al.
Background: There are large differences between men and women of child-bearing age in the expression level of 5 key enzymes in one-carbon metabolism almost certainly caused by the sex hormones. These male-female differenc...
Module-detection approaches for the integration of multilevel omics data highlight the comprehensive response of Aspergillus fumigatus to caspofungin [0.03%]
模块检测方法整合多组学数据，揭示烟曲霉对卡泊芬净的全面反应
T Conrad,O Kniemeyer,S G Henkel et al.
T Conrad et al.
Background: Omics data provide deep insights into overall biological processes of organisms. However, integration of data from different molecular levels such as transcriptomics and proteomics, still remains challenging. ...
Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models [0.03%]
基于粒子群的动态优化算法(DOPS): 生物化学模型参数估计的一个新启发式方法
Adithya Sagar,Rachel LeCover,Christine Shoemaker et al.
Adithya Sagar et al.
Background: Mathematical modeling is a powerful tool to analyze, and ultimately design biochemical networks. However, the estimation of the parameters that appear in biochemical models is a significant challenge. Paramete...