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Papers: 10.1155/2020/6539398

https://doi.org/10.1155/2020/6539398

Distinguishing Kawasaki Disease from Febrile Infectious Disease Using Gene Pair Signatures

Cited by: 1
Author(s): Jiayong Zhong, Qingsheng Huang, Yanfei Wang, Huan Gao, Hongling Jia, Jun Fan, Huiying Liang
Published: over 6 years ago

Software Mentions 10

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: switchBox
Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm
Papers that mentioned: 3
Very Likely Science (100)
cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
Very Likely Science (93)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
Very Likely Science (80)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)