Cancer Statistics, 2008
Each year, the American Cancer Society estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on...
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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and an...
Inferring tumour purity and stromal and immune cell admixture from expression data
Infiltrating stromal and immune cells form the major fraction of normal cells in tumour tissue and not only perturb the tumour signal in molecular studies but also have an impor...
Polymer Photovoltaic Cells: Enhanced Efficiencies via a Network of Internal Donor-Acceptor Heterojunctions
The carrier collection efficiency (η c ) and energy conversion efficiency (η e ) of polymer photovoltaic cells were improved by blending of the semiconducting polymer with C 60 ...
Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells
Somatic cell nuclear transfer allows trans-acting factors present in the mammalian oocyte to reprogram somatic cell nuclei to an undifferentiated state. We show that four factor...
QUAST: quality assessment tool for genome assemblies
Abstract Summary: Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers h...
Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China
Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern and poses a challenge to psychological resilience. Research da...
Why Most Published Research Findings Are False
There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number...
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion base...