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A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis.
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- BMC Genomics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12864-021-07935-1
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- Article
miRFA: an automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer.
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- BMC Bioinformatics, 2019, v. 20, n. 1, p. N.PAG, doi. 10.1186/s12859-019-2974-3
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- Article
NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing.
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- BMC Bioinformatics, 2018, v. 19, n. 1, p. 1, doi. 10.1186/s12859-018-2557-8
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- Article
MODalyseR—a novel software for inference of disease module hub regulators identified a putative multiple sclerosis regulator supported by independent eQTL data.
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- Bioinformatics Advances, 2022, v. 2, n. 1, p. 1, doi. 10.1093/bioadv/vbac006
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- Article
MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks.
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- Bioinformatics, 2020, v. 36, n. 12, p. 3918, doi. 10.1093/bioinformatics/btaa235
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- Article