Computer graphics (images)
View article: Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Complex heatmaps reveal patterns and correlations in multidimensional genomic data Open
Summary: Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap package that provides ric…
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<span>UCSF ChimeraX</span>: Structure visualization for researchers, educators, and developers Open
UCSF ChimeraX is the next‐generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements…
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Dynamic Graph CNN for Learning on Point Clouds Open
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices. While hand-designed features on point clouds have lon…
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UCSF ChimeraX: Meeting modern challenges in visualization and analysis Open
UCSF ChimeraX is next‐generation software for the visualization and analysis of molecular structures, density maps, 3D microscopy, and associated data. It addresses challenges in the size, scope, and disparate types of data attendant with …
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New tools for automated high-resolution cryo-EM structure determination in RELION-3 Open
Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Lap…
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NeRF Open
We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. Our algorithm represents a scene …
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<i>Mercury 4.0</i>: from visualization to analysis, design and prediction Open
The program Mercury , developed at the Cambridge Crystallographic Data Centre, was originally designed primarily as a crystal structure visualization tool. Over the years the fields and scientific communities of chemical crystallography an…
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<i>CrystalExplorer</i>: a program for Hirshfeld surface analysis, visualization and quantitative analysis of molecular crystals Open
CrystalExplorer is a native cross-platform program supported on Windows, MacOS and Linux with the primary function of visualization and investigation of molecular crystal structures, especially through the decorated Hirshfeld surface and i…
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WHO Coronavirus Disease (COVID-19) Dashboard Open
World Health Organization Coronavirus disease situation dashboard presents official daily counts of COVID-19 cases and deaths worldwide, along with vaccination rates and other vaccination data, while providing a hub to other resources. Int…
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UpSetR: an R package for the visualization of intersecting sets and their properties Open
Motivation Venn and Euler diagrams are a popular yet inadequate solution for quantitative visualization of set intersections. A scalable alternative to Venn and Euler diagrams for visualizing intersecting sets and their properties is neede…
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GISAID: Global initiative on sharing all influenza data – from vision to reality Open
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Geometric Deep Learning: Going beyond Euclidean data Open
Many scientific fields study data with an underlying structure that is a\nnon-Euclidean space. Some examples include social networks in computational\nsocial sciences, sensor networks in communications, functional networks in\nbrain imagin…
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Instant neural graphics primitives with a multiresolution hash encoding Open
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate. We reduce this cost with a versatile new input encoding that permits the use of a smaller network without sacrificing qualit…
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3D Gaussian Splatting for Real-Time Radiance Field Rendering Open
Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while re…
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YOLOX: Exceeding YOLO Series in 2021 Open
In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX. We switch the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoup…
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Heatmapper: web-enabled heat mapping for all Open
Heatmapper is a freely available web server that allows users to interactively visualize their data in the form of heat maps through an easy-to-use graphical interface. Unlike existing non-commercial heat map packages, which either lack gr…
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A review of metasurfaces: physics and applications Open
Metamaterials are composed of periodic subwavelength metal/dielectric structures that resonantly couple to the electric and/or magnetic components of the incident electromagnetic fields, exhibiting properties that are not found in nature. …
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<i>ISOLDE</i>: a physically realistic environment for model building into low-resolution electron-density maps Open
This paper introduces ISOLDE , a new software package designed to provide an intuitive environment for high-fidelity interactive remodelling/refinement of macromolecular models into electron-density maps. ISOLDE combines interactive molecu…
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SRplot: A free online platform for data visualization and graphing Open
Graphics are widely used to provide summarization of complex data in scientific publications. Although there are many tools available for drawing graphics, their use is limited by programming skills, costs, and platform specificities. Here…
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Enhancing Our Lives with Immersive Virtual Reality Open
OPINION article Front. Robot. AI, 19 December 2016Sec. Virtual Environments Volume 3 - 2016 | https://doi.org/10.3389/frobt.2016.00074
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A Deep Learning Approach to Network Intrusion Detection Open
Software Defined Networking (SDN) has recently emerged to become one of the promising solutions for the future Internet. With the logical centralization of controllers and a global network overview, SDN brings us a chance to strengthen our…
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MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ Open
Motivation: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D images. However, most MM plugins currently implemented for the popular ImageJ/Fiji platform are limited to the processing of 2D images. Resu…
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1 km monthly temperature and precipitation dataset for China from 1901 to 2017 Open
High-spatial-resolution and long-term climate data are highly desirable for understanding climate-related natural processes. China covers a large area with a low density of weather stations in some (e.g., mountainous) regions. This study d…
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ELATE: an open-source online application for analysis and visualization of elastic tensors Open
We report on the implementation of a tool for the analysis of second-order elastic stiffness tensors, provided with both an open-source Python module and a standalone online application allowing the visualization of anisotropic mechanical …
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Trial of Tocilizumab in Giant-Cell Arteritis Open
Tocilizumab, received weekly or every other week, combined with a 26-week prednisone taper was superior to either 26-week or 52-week prednisone tapering plus placebo with regard to sustained glucocorticoid-free remission in patients with g…
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The IllustrisTNG simulations: public data release Open
We present the full public release of all data from the TNG100 and TNG300 simulations of the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gravo-magnetohydrodynamical simulations run with the moving-mesh code…
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Deep Learning in Medical Imaging: General Overview Open
The artificial neural network (ANN)-a machine learning technique inspired by the human neuronal synapse system-was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishi…
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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Open
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains. These results shed light on recent advances in computer …
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Raincloud plots: a multi-platform tool for robust data visualization Open
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistically robust, transparent approaches to data visualization. Complementary to this, many scientists have called for plotting tools that accur…
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Recent advances in planar optics: from plasmonic to dielectric metasurfaces Open
This article reviews recent progress leading to the realization of planar optical components made of a single layer of phase shifting nanostructures. After introducing the principles of planar optics and discussing earlier works on subwave…