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Biomarker Prioritisation and Power Estimation Using Ensemble Gene Regulatory Network Inference
2020
International Journal of Molecular Sciences
Inferring the topology of a gene regulatory network (GRN) from gene expression data is a challenging but important undertaking for gaining a better understanding of gene regulation. Key challenges include working with noisy data and dealing with a higher number of genes than samples. Although a number of different methods have been proposed to infer the structure of a GRN, there are large discrepancies among the different inference algorithms they adopt, rendering their meaningful comparison
doi:10.3390/ijms21217886
pmid:33114263
pmcid:PMC7660606
fatcat:srk7tskw4jeqfnxcf34iljmzjm