Papers: 10.1155/2020/5418364

https://doi.org/10.1155/2020/5418364

A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer

Cited by: 9
Author(s): Xian Jiang, Xiuhe Zou, Jing Sun, Aiping Zheng, Chao Su
Published: almost 6 years ago

Software Mentions 20

cran: devtools
Tools to Make Developing R Packages Easier
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A Grammar of Data Manipulation
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Extended Model Formulas
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Create Elegant Data Visualisations Using the Grammar of Graphics
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cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
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cran: Hmisc
Harrell Miscellaneous
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Support Functions and Datasets for Venables and Ripley's MASS
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cran: nomogramEx
Extract Equations from a Nomogram
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Procedures for Psychological, Psychometric, and Personality Research
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Risk Model Decision Analysis
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Regression Modeling Strategies
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Survival Analysis
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Drawing Survival Curves using 'ggplot2'
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Tidy Messy Data
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Easily Install and Load the 'Tidyverse'
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pypi: devtools
Python's missing debug print command, and more.
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pypi: glmnet
Python wrapper for glmnet
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pypi: grid
Volumetric data module
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pypi: radiomics
A radiomics implementation in python
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pypi: survival
Add static script_dir() method to Path
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