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New Insights in Breast Cancer Survivability

New Insights in Breast Cancer Survivability

Using the Pattern Discovery Engine™ applied against breast cancer datasets, we derived multiple 3-way candidate gene-gene interactions to be considered for lab testing. If validated, they could indicate a new approach to increasing breast cancer survival rates by regulating expression levels of the trio.

Read paper here.

New Insights in Human Gut Microbiome

New Insights in Human Gut Microbiome

Using the Pattern Discovery Engine™ coupled with a hypothesis-free approach, we analyzed a large dataset of 50 human microbiome samples, each with the relative abundance of the ~10,000 KEGG protein families. We identified 39 KEGGs that were significant in differentiating the disease states from each other and from healthy, with 9 of the KEGGs (out of 10K total) being most associated with a dynamic path from disease to health in the human-gut microbiome. Using our approach we were able to reduce the size of the dataset to be analyzed by three orders of magnitude.

Read paper here.