Papers: 10.3390/cancers13174348
https://doi.org/10.3390/cancers13174348
Histological Grade of Endometrioid Endometrial Cancer and Relapse Risk Can Be Predicted with Machine Learning from Gene Expression Data
Cited by: 4
Author(s): Péter Gargya, Bálint László Bálint
Published: about 5 years ago
Software Mentions 14
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bioconductor: BiocParallel
Bioconductor facilities for parallel evaluationPapers that mentioned: 30
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bioconductor: DelayedArray
A unified framework for working transparently with on-disk and in-memory array-like datasetsPapers that mentioned: 6
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bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
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bioconductor: GenomeInfoDb
Utilities for manipulating chromosome names, including modifying them to follow a particular naming stylePapers that mentioned: 7
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bioconductor: GenomicRanges
Representation and manipulation of genomic intervalsPapers that mentioned: 323
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bioconductor: IRanges
Foundation of integer range manipulation in BioconductorPapers that mentioned: 62
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bioconductor: S4Vectors
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cran: matrixStats
Functions that Apply to Rows and Columns of Matrices (and to Vectors)Papers that mentioned: 46
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