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Found 4 papers, 1 papers with code
Current and future directions in network biology
As such, it is expected to help shape short- and long-term vision for future computational and algorithmic research in network biology.
A guided network propagation approach to identify disease genes that combines prior and new information
Overall, our work suggests that guided network propagation approaches that utilize both prior and new data are a powerful means to identify disease genes.
Network-based coverage of mutational profiles reveals cancer genes
Here, we introduce a method that considers per-individual mutational profiles within the context of protein-protein interaction networks in order to identify small connected subnetworks of genes that, while not individually frequently mutated, comprise pathways that are perturbed across (i. e., "cover") a large fraction of the individuals.
Beyond the E-value: stratified statistics for protein domain prediction
E-values have been the dominant statistic for protein sequence analysis for the past two decades: from identifying statistically significant local sequence alignments to evaluating matches to hidden Markov models describing protein domain families.
Genomics
