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Cancer statistics, 2020
Abstract Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on po...
Search and clustering orders of magnitude faster than BLAST
Abstract Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. Results: UBLAS...
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China
In this single-center case series of 138 hospitalized patients with confirmed NCIP in Wuhan, China, presumed hospital-related transmission of 2019-nCoV was suspected in 41% of p...
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies
Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's gene...
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Contents: Preface. Introduction. Bivariate Correlation and Regression. Multiple Regression/Correlation With Two or More Independent Variables. Data Visualization, Exploration, a...
Multilineage Potential of Adult Human Mesenchymal Stem Cells
Human mesenchymal stem cells are thought to be multipotent cells, which are present in adult marrow, that can replicate as undifferentiated cells and that have the potential to ...
Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma
The addition of temozolomide to radiotherapy for newly diagnosed glioblastoma resulted in a clinically meaningful and statistically significant survival benefit with minimal add...
The qualitative content analysis process
Abstract Title. The qualitative content analysis process Aim. This paper is a description of inductive and deductive content analysis. Background. Content analysis is a method t...
A theory for multiresolution signal decomposition: the wavelet representation
Multiresolution representations are effective for analyzing the information content of images. The properties of the operator which approximates a signal at a given resolution w...