Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Strength of stacking technique of ensemble learning in rockburst prediction with imbalanced data: Comparison of eight single and ensemble models
Rockburst is a common dynamic geological hazard, severely restricting the development
and utilization of underground space and resources. As the depth of excavation and mining …
and utilization of underground space and resources. As the depth of excavation and mining …
UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat
Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …
estimate winter wheat yields in a timely manner is essential for accurate crop management …
NSRGRN: a network structure refinement method for gene regulatory network inference
The elucidation of gene regulatory networks (GRNs) is one of the central challenges of
systems biology, which is crucial for understanding pathogenesis and curing diseases …
systems biology, which is crucial for understanding pathogenesis and curing diseases …
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference
The recent advances of single-cell RNA sequencing (scRNA-seq) have enabled reliable
profiling of gene expression at the single-cell level, providing opportunities for accurate …
profiling of gene expression at the single-cell level, providing opportunities for accurate …
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data
Single-cell RNA sequencing has enabled to capture the gene activities at single-cell
resolution, thus allowing reconstruction of cell-type-specific gene regulatory networks …
resolution, thus allowing reconstruction of cell-type-specific gene regulatory networks …
Efficient prediction of SOC and aggregate OC components by continuous wavelet transform spectra under different feature selection methods
S Yang, Z Wang, C Ji, Y Hao, Z Liang, X Yan… - … and Electronics in …, 2024 - Elsevier
Abstract Soil Organic Carbon (SOC) fixation plays a vital role in reducing greenhouse gas
emissions and the formation of soil aggregates is recognized as a crucial process in SOC …
emissions and the formation of soil aggregates is recognized as a crucial process in SOC …
Inferring a Gene Regulatory Network from Gene Expression Data. An Overview of Best Methods and a Reverse Engineering Approach
Abstract Gene Regulatory Networks (GRNs) are widely used to understand processes in
cellular organisms. The spread of viruses and the development of new unknown diseases …
cellular organisms. The spread of viruses and the development of new unknown diseases …
Exploring gene regulation and biological processes in insects: Insights from omics data using gene regulatory network models
Gene regulatory network (GRN) comprises complicated yet intertwined gene-regulator
relationships. Understanding the GRN dynamics will unravel the complexity behind the …
relationships. Understanding the GRN dynamics will unravel the complexity behind the …
NSCGRN: a network structure control method for gene regulatory network inference
W Liu, X Sun, L Yang, K Li, Y Yang… - Briefings in …, 2022 - academic.oup.com
Accurate inference of gene regulatory networks (GRNs) is an essential premise for
understanding pathogenesis and curing diseases. Various computational methods have …
understanding pathogenesis and curing diseases. Various computational methods have …
Time dependence of the enhancement effect of chemical enhancers: molecular mechanisms of enhancing kinetics
X Liu, P Quan, S Li, C Liu, Y Zhao, Y Zhao… - Journal of Controlled …, 2017 - Elsevier
Chemical enhancers are widely used for facilitating drug penetration in transdermal drug
delivery system (TDDS). However, there is a lack of knowledge about how the enhancement …
delivery system (TDDS). However, there is a lack of knowledge about how the enhancement …