Publications
Explore 330 academic publications
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews
The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The ...
COSMO: a new approach to dielectric screening in solvents with explicit expressions for the screening energy and its gradient
Starting from the screening in conductors, an algorithm for the accurate calculation of dielectric screening effects in solvents is presented, which leads to rather simple expli...
Organizational Information Requirements, Media Richness and Structural Design
This paper answers the question, “Why do organizations process information?” Uncertainty and equivocality are defined as two forces that influence information processing in orga...
The UK Biobank resource with deep phenotyping and genomic data
Abstract The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom...
<scp>UCSF ChimeraX</scp>: Structure visualization for researchers, educators, and developers
Abstract UCSF ChimeraX is the next‐generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera...
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abstract The introduction of AlphaFold 2 1 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in prote...
Hallmarks of Cancer: New Dimensions
Abstract The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underlying...
A Comprehensive Survey on Graph Neural Networks
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language u...
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
One of the central problems in machine learning and pattern recognition is to develop appropriate representations for complex data. We consider the problem of constructing a rep...