3. The method of claim 1 wherein performing the biological meaningfulness analysis further comprises: identifying a plurality of the nodes that exhibit a contextual similarity with each other by: selecting a plurality of documents where the nodes appear in the corpus; setting a plurality of word vector values corresponding to a plurality of biologically significant words for each the nodes based on a frequency that the biologically significant words appear in the same documents as each of the nodes; calculating a plurality of term frequency-inverse document frequency (TFIDF) averages corresponding to each of the biologically significant words for each of the nodes; and calculating a contextual similarity value (CSV) corresponding to a plurality of connections between the plurality of nodes by combining the TFIDF averages calculated for each of the nodes included in each of the connections.
3. The method of claim 1 wherein performing the biological meaningfulness analysis further comprises: identifying a plurality of the nodes that exhibit a contextual similarity with each other by: selecting a plurality of documents where the nodes appear in the corpus; setting a plurality of word vector values corresponding to a plurality of biologically significant words for each the nodes based on a frequency that the biologically significant words appear in the same documents as each of the nodes; calculating a plurality of term frequency-inverse document frequency (TFIDF) averages corresponding to each of the biologically significant words for each of the nodes; and calculating a contextual similarity value (CSV) corresponding to a plurality of connections between the plurality of nodes by combining the TFIDF averages calculated for each of the nodes included in each of the connections. 4. The method of claim 3 further comprising: calculating the CSV corresponding to the plurality of connections as being a cosine similarity of the TFIDF averages calculated for each of the nodes included in each of the connections.