KEGG for taxonomy-based analysis of pathways and genomes
Abstract KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health informa...
Publications
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97 publications
Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries
In 2015, the second cycle of the CONCORD programme established global surveillance of cancer survival as a metric of the effectiveness of health systems and to inform global pol...
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the soluti...
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin
Taxonomic classification of marker-gene sequences is an important step in microbiome analysis. We present q2-feature-classifier (https://github.com/qiime2/q2-feature-classifier)...
Classification and Diagnosis of Diabetes Mellitus and Other Categories of Glucose Intolerance
A classification of diabetes and other categories of glucose intolerance, based on contemporary knowledge of this heterogeneous syndrome, was developed by an international workg...
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands ...
First‐Year <i>Wilkinson Microwave Anisotropy Probe</i> ( <i>WMAP</i> ) Observations: Preliminary Maps and Basic Results
We present full sky microwave maps in five frequency bands (23 to 94 GHz) from the WMAP first year sky survey. Calibration errors are less than 0.5% and the low systematic error...
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Regional dropout strategies have been proposed to enhance performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to atte...
CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
Recent results indicate that the generic descriptors ex-tracted from the convolutional neural networks are very powerful. This paper adds to the mounting evidence that this is i...
How To Correctly Determine the Band Gap Energy of Modified Semiconductor Photocatalysts Based on UV–Vis Spectra
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTHow To Correctly Determine the Band Gap Energy of Modified Semiconductor Photocatalysts Based on UV–Vis SpectraPatrycja MakułaPatry...
Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is a global health emergency. An attractive drug target a...