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Papers: 10.1155/2017/5310198

https://doi.org/10.1155/2017/5310198

Robust Significance Analysis of Microarrays by Minimum <i>β</i>-Divergence Method

Cited by: 10
Author(s): Shahjaman, Nishith Kumar, Md. Manir Hossain Mollah, Shakil Ahmed, Anjuman Ara Begum, S. M. Shahinul Islam, Md. Nurul Haque Mollah
Published: over 8 years ago

Software Mentions 7

bioconductor: EBarrays
Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
Papers that mentioned: 26
Very Likely Science (100)
bioconductor: gaga
GaGa hierarchical model for high-throughput data analysis
Papers that mentioned: 2
Very Likely Science (75)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: ROC
utilities for ROC, with microarray focus
Papers that mentioned: 123
Very Likely Science (100)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
cran: samr
SAM: Significance Analysis of Microarrays
Papers that mentioned: 114
Very Likely Science (93)
pypi: gaga
A genetic algorithm
Papers that mentioned: 2
Very Likely Science (100)