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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1,539 publications
Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
In patients with type 2 diabetes who had or were at risk for atherosclerotic cardiovascular disease, treatment with dapagliflozin did not result in a higher or lower rate of MAC...
The mini international neuropsychiatric interview
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Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose ...
The Immune Landscape of Cancer
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identi...
The algebraic eigenvalue problem
Theoretical background Perturbation theory Error analysis Solution of linear algebraic equations Hermitian matrices Reduction of a general matrix to condensed form Eigenvalues o...
Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019
This review is an updated and expanded version of the five prior reviews that were published in this journal in 1997, 2003, 2007, 2012, and 2016. For all approved therapeutic ag...
Diagnostic Criteria for Use in Psychiatric Research
Diagnostic criteria for 14 psychiatric illnesses (and for secondary depression) along with the validating evidence for these diagnostic categories comes from workers outside our...
A Diagnostic Interview
The Schedule for Affective Disorders and Schizophrenia (SADS) was developed to reduce information variance in both the descriptive and diagnostic evaluation of a subject. The SA...
A ConvNet for the 2020s
The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification...
FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to solve object detection in a per-pixel prediction fashion, analogue to semantic segmentation. Almost all stat...