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ggplot2: Elegant Graphics for Data Analysis
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TLDR
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.Abstract:
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, its easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot. This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and youll learn everything you need in the book. After reading this book youll be able to produce graphics customized precisely for your problems,and youll find it easy to get graphics out of your head and on to the screen or page.read more
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Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories
TL;DR: Martin-Martin this article was funded for a four-year doctoral fellowship (FPU2013/05863) granted by the Ministerio de Educacion, Cultura, y Deportes (Spain).
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Recovery of genomes from metagenomes via a dereplication, aggregation and scoring strategy.
Christian M. K. Sieber,Christian M. K. Sieber,Alexander J. Probst,Allison Sharrar,Brian C. Thomas,Matthias Hess,Susannah G. Tringe,Jillian F. Banfield +7 more
TL;DR: A tool that enables a flexible set of existing binning algorithms to be combined, resulting in improved binning accuracy and the recovery of more near-complete genomes from metagenomes compared to standalone methods is presented.
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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.
Kun-Hsing Yu,Ce Zhang,Gerald J. Berry,Russ B. Altman,Christopher Ré,Daniel L. Rubin,Michael Snyder +6 more
TL;DR: It is suggested that automatically derived image features can predict the prognosis of lung cancer patients and thereby contribute to precision oncology.
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Innate immune activity conditions the effect of regulatory variants upon monocyte gene expression.
Benjamin P. Fairfax,Peter Humburg,Seiko Makino,Vivek Naranbhai,Daniel Wong,Evelyn Lau,Luke Jostins,Katharine Plant,Robert Andrews,Chris J. McGee,Julian C. Knight +10 more
TL;DR: This work mapped interindividual variation in gene expression as a quantitative trait, defining expression quantitative trait loci (eQTLs) and found trans associations to the major histocompatibility complex are dependent on context, paralleling the expression of class II genes.
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Equivalence Testing for Psychological Research: A Tutorial
TL;DR: Two One-Sided Tests (TOSTs) as discussed by the authors were used to test both for the presence of an effect and for the absence of a effect in a test set.