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We use recursive procedure to identify communities with restrictions on size of communities followed by steps like merge, split of communities and removal of those which are not significant using a novel F-score and confidence threshold.
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New Implementation of GIGI with following new features:
Better cache performance Better algorithmic implementations -
Network based identification of key master regulators for Immunologic Constant of Rejection
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Modify GIGI-Quick to run GIGI2 on Texas A&M University in Qatar's Raad2 supercomputer, which uses Slurm for queue and resource management.
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This program finds Maximum-Likelihood Estimates(MLE) of three k-statistics of all pairs of individuals in the sample assuming all individuals are from an outbred population.
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Regularized GBM for GRN
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BigQuic R package
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Predicting Solubility of Recombinant proteins using Deep Learning
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Split data, run data, reassemble results using a known specialized family imputation method.
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A snap for GIGI2.