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Possible methodologies of machine learning in R that can assimilate continuous variables along gene expression data for microarray classification
classification machinelearning microarray multivariate caret
updated 8.6 years ago by ★ 13k • written 8.6 years ago by ▴ 830
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Job: Bioinformatics Laboratory Head in AI or machine learning (WEHI, Australia)
bioconductor artificialintelligence JobPosting machinelearning
written 8 months ago by 50k
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Cannot specify probability function for extraTrees model in caret package
caret extraTrees machinelearning
8.9 years ago liuy12 • 0
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Machine learning methods for feature selection and possible correlation with clinical data
machinelearning clinicaldata biomarkers data integration bioconductor
9.0 years ago svlachavas ▴ 830
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Job: Group Leader (Machine Learning/AI), Centre for Molecular Medicine, University of Oslo
Biology AI Machinelearning Precisionmedicine Norway
2.2 years ago delete • 0
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738
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Job: Job as a bioinformatician in Hamburg, Germany
DimensionReduction SingleCellData multiomics MachineLearning
17 months ago Diego's • 0
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Job: PhD position in Bioinformatics in Jena
Statistics ComputationalBiology Aging MachineLearning
16 months ago alena.vanboemmel • 0
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Hierarchical Random Forest classifier
rnaseq machinelearning random forest mlseq
8.3 years ago anthony.hawkins ▴ 10
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Error in R package "cancerclass" with function nvalidate
cancerclass bioconductor machinelearning classification
9.0 years ago svlachavas ▴ 830
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Job: Graduate Student in Cancer Genomics / Machine Learning Brigham Young University
machinelearning cancer Job
8.4 years ago Stephen Piccolo ▴ 590
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Comment: SGSeq: moving toward diffex from SGSeq analysis by Sara • 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Poonam • 0
I tried different block lengths first and considered 100000 to be ideal because of the almost similar inter-range distance. S1= bootRange…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 41k
The segmentation and block length are key parameters. We recommend for example blocks of length ~500kb. It would help if you would post yo…
Answer: Handling multiple differential expression comparisons by Michael Love 41k
It's typical that results are presented with each group having its own FDR control. So presenting each comparison with the adjusted p-va…
Comment: Too many significant genes when integrating gtex and tcga by ATpoint ★ 4.1k
These two datasets are from completely different experiments / batches. It is utterly meaningless to compare them. I would suggest comparat…
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Print Differentially Expressed Exons From Dexseq Results
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
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