CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offering functionalities for downstream analysis of clustering results.
a memory-efficient implementation of Markov Clustering Algorithm for large-scale of networks
Used Python to implement the Soft Regularized Markov Clustering (SR-MCL) algorithm and tested it on an extensive real-world dataset, weighted yeast proteins interactome, for time complexity and performance check beside a small random graph for showing the nodes' predicted clusters.
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