Correction to: A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice [0.03%]
Correction to: 鼠类肺炎球菌治疗的定量系统药理学（QSP）模型
Guan-Sheng Liu,Richard Ballweg,Alan Ashbaugh et al.
Guan-Sheng Liu et al.
It was highlighted that the original article [1] contained errors in the figures and their legends and by extension the in-text figure citations. This Corrections article shows the correct figures and correct figure legends.
Published Erratum
BMC systems biology. 2019 Aug 12;13(1):40. DOI:10.1186/s12918-019-0708-9 2019
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO [0.03%]
基于HPO的集成表型相似度测量的疾病相关表型预测方法研究
Hansheng Xue,Jiajie Peng,Xuequn Shang
Hansheng Xue
Background: Improving efficiency of disease diagnosis based on phenotype ontology is a critical yet challenging research area. Recently, Human Phenotype Ontology (HPO)-based semantic similarity has been affectively and wi...
Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks [0.03%]
融合基因表达和传递性蛋白质-蛋白质相互作用以推断基因调控网络
Wenting Liu,Jagath C Rajapakse
Wenting Liu
Background: Systematic fusion of multiple data sources for Gene Regulatory Networks (GRN) inference remains a key challenge in systems biology. We incorporate information from protein-protein interaction networks (PPIN) i...
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data [0.03%]
一种快速高效的基于计数的矩阵分解方法，用于从单细胞RNA测序数据中检测细胞类型
Shiquan Sun,Yabo Chen,Yang Liu et al.
Shiquan Sun et al.
Background: Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal to identify cell-types. More efficient way of dealing with this issue is to ex...
GNE: a deep learning framework for gene network inference by aggregating biological information [0.03%]
基于整合生物信息的基因网络推理深度学习框架(GNE)
Kishan Kc,Rui Li,Feng Cui et al.
Kishan Kc et al.
Background: The topological landscape of gene interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, it is still a challenging task to aggregate heterog...
FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs [0.03%]
使用miRNA家族和簇信息提高疾病相关miRNAs预测准确性的方法
Xiaoying Li,Yaping Lin,Changlong Gu et al.
Xiaoying Li et al.
Background: Biological experiments have confirmed the association between miRNAs and various diseases. However, such experiments are costly and time consuming. Computational methods help select potential disease-related m...
Anti-TNF- αtreatment-related pathways and biomarkers revealed by transcriptome analysis in Chinese psoriasis patients [0.03%]
中国人银屑病患者抗TNF-α治疗相关的转录组路径及生物标志物分析
Lunfei Liu,Wenting Liu,Yuxin Zheng et al.
Lunfei Liu et al.
Background: Anti-tumor necrosis factor alpha (TNF- α) therapy has made a significant impact on treating psoriasis. Despite these agents being designed to block TNF- α activity, their mechanism of action in the remission...
Ultrafast clustering of single-cell flow cytometry data using FlowGrid [0.03%]
基于FlowGrid的单细胞流式细胞仪数据超快聚类方法
Xiaoxin Ye,Joshua W K Ho
Xiaoxin Ye
Background: Flow cytometry is a popular technology for quantitative single-cell profiling of cell surface markers. It enables expression measurement of tens of cell surface protein markers in millions of single cells. It ...
Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus [0.03%]
2型糖尿病β细胞凋亡及胰岛素抵抗的布尔网络模型
Pritha Dutta,Lichun Ma,Yusuf Ali et al.
Pritha Dutta et al.
Background: Major alteration in lifestyle of human population has promoted Type 2 diabetes mellitus (T2DM) to the level of an epidemic. This metabolic disorder is characterized by insulin resistance and pancreatic β-cell...
Network-based characterization of drug-protein interaction signatures with a space-efficient approach [0.03%]
基于网络的药物-蛋白质相互作用谱系的空间高效表征方法
Yasuo Tabei,Masaaki Kotera,Ryusuke Sawada et al.
Yasuo Tabei et al.
Background: Characterization of drug-protein interaction networks with biological features has recently become challenging in recent pharmaceutical science toward a better understanding of polypharmacology. ...