Scaling‐up biodiversity‐ecosystem functioning research
A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily
focused on small scales. We review the current theory and identify six expectations for scale …
focused on small scales. We review the current theory and identify six expectations for scale …
Psychology's replication crisis and clinical psychological science
Despite psychological scientists' increasing interest in replicability, open science, research
transparency, and the improvement of methods and practices, the clinical psychology …
transparency, and the improvement of methods and practices, the clinical psychology …
Inference and analysis of cell-cell communication using CellChat
Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …
cell signaling links and effective systems-level analyses of those links. We construct a …
Making images real again: A comprehensive survey on deep image composition
As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …
from one image and another background image, resulting in a composite image. However …
The airway microbiome mediates the interaction between environmental exposure and respiratory health in humans
L Lin, X Yi, H Liu, R Meng, S Li, X Liu, J Yang, Y Xu… - Nature Medicine, 2023 - nature.com
Exposure to environmental pollution influences respiratory health. The role of the airway
microbial ecosystem underlying the interaction of exposure and respiratory health remains …
microbial ecosystem underlying the interaction of exposure and respiratory health remains …
Complex networks from classical to quantum
Recent progress in applying complex network theory to problems in quantum information
has resulted in a beneficial cross-over. Complex network methods have successfully been …
has resulted in a beneficial cross-over. Complex network methods have successfully been …
Context-aware deconvolution of cell–cell communication with Tensor-cell2cell
Cell interactions determine phenotypes, and intercellular communication is shaped by
cellular contexts such as disease state, organismal life stage, and tissue microenvironment …
cellular contexts such as disease state, organismal life stage, and tissue microenvironment …
Measure the structure similarity of nodes in complex networks based on relative entropy
Similarity of nodes is a basic structure quantification in complex networks. Lots of methods in
research on complex networks are based on nodes' similarity such as node's classification …
research on complex networks are based on nodes' similarity such as node's classification …
Retgk: Graph kernels based on return probabilities of random walks
Graph-structured data arise in wide applications, such as computer vision, bioinformatics,
and social networks. Quantifying similarities among graphs is a fundamental problem. In this …
and social networks. Quantifying similarities among graphs is a fundamental problem. In this …
A simple yet effective baseline for non-attributed graph classification
Graphs are complex objects that do not lend themselves easily to typical learning tasks.
Recently, a range of approaches based on graph kernels or graph neural networks have …
Recently, a range of approaches based on graph kernels or graph neural networks have …