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<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
Abstract Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics a...
XGBoost
Tree boosting is a highly effective and widely used machine learning method.\nIn this paper, we describe a scalable end-to-end tree boosting system called\nXGBoost, which is use...
LIBSVM
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their...
limma powers differential expression analyses for RNA-sequencing and microarray studies
© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. limma is an R/Bioconductor software package that provides an integrated solution ...
An Inventory for Measuring Depression
The difficulties inherent in obtaining consistent and adequate diagnoses for the purposes of research and therapy have been pointed out by a number of authors. Pasamanick<sup>12...
Equation of State Calculations by Fast Computing Machines
A general method, suitable for fast computing machines, for investigating such properties as equations of state for substances consisting of interacting individual molecules is ...
Fully convolutional networks for semantic segmentation
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, ex...
Self-efficacy: Toward a unifying theory of behavioral change.
The present article presents an integrative theoretical framework to explain and to predict psychological changes achieved by different modes of treatment. This theory states th...