## 3 Results
### Pathway Enrichment Analyses  
In the GO functional enrichment analyses using the BINGO plugin of Cytoscape (Figure 6), the yellow nodes are significantly over-represented while the white nodes are not significantly over-represented and are included only to show the yellow nodes in the context of the GO hierarchy. The size of a node is proportional to the number of query genes that are annotated to the corresponding GO category. The top 20 GO categories based on their respective node sizes, which are significantly over-represented in our study, are listed in Table 4. Among these significantly over-represented categories, the highest node size was reported for the biological regulation pathway followed by regulation of biological processes and regulation of cellular processes. Neighborhood connectivity was found to be highest for regulation of the signaling pathway, followed by biological regulation, organ morphogenesis, and skeletal development. It is interesting to find that among the \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Name**} & **Average Shortest** & **Betweenness** & **Closeness** & **Clustering** & **Degree** \\  & **Path Length** & **Centrality** & **Centrality** & **Coefficient** & **Degree** \\ \hline SNRPF & 2.145228 & 0.001357 & 0.466151 & 0.883247 & 84 \\ CTNNB1 & 1.929461 & 0.065249 & 0.51828 & 0.26485 & 54 \\ HNRNPAB & 2.373444 & 2.87E-05 & 0.421329 & 0.980408 & 50 \\ RBBP4 & 2.394191 & 0.002108 & 0.417678 & 0.642105 & 20 \\ WNT2 & 2.481328 & 0.000697 & 0.40301 & 0.760234 & 19 \\ PRKAB1 & 2.489627 & 0.003624 & 0.401667 & 0.79085 & 18 \\ GNAQ & 2.556017 & 0.009064 & 0.391234 & 0.33333 & 18 \\ GLI2 & 2.456432 & 0.002979 & 0.407095 & 0.698529 & 17 \\ RRAGD & 2.697095 & 0.000347 & 0.370769 & 0.95 & 16 \\ MITF & 2.448133 & 0.010795 & 0.408475 & 0.549451 & 14 \\ NES & 2.53112 & 0.000352 & 0.395082 & 0.769231 & 13 \\ TLE4 & 2.385892 & 0.000377 & 0.41913 & 0.709091 & 11 \\ RND3 & 2.53112 & 0.00226 & 0.395082 & 0.490909 & 11 \\ PRL & 2.585062 & 0.001092 & 0.386838 & 0.472727 & 11 \\ IL2 RB & 2.742739 & 0.000934 & 0.364599 & 0.644444 & 10 \\ F2 RL2 & 2.73029 & 0.003432 & 0.366261 & 0.527778 & 9 \\ TWIST2 & 2.809129 & 0.000309 & 0.35982 & 0.527778 & 9 \\ TRIO & 2.622407 & 0.008446 & 0.381329 & 0.535714 & 8 \\ EPS15 & 2.705394 & 0.002056 & 0.369632 & 0.642857 & 8 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: List of top 20 interactions from protein–protein analyses using the STRING app. first 20 over-represented pathways, CTNNB1 was found to be present in all the pathways. This shows the importance of this gene in the flow of information in reference to the pathophysiology of both the diseases. The HNRNPAB protein was found to be involved in 15 pathways, thereby demonstrating its role in disease occurrence. TWIST2 protein has also been found to be present in 12 pathways. These observations definitely point towards the probable involvement of the TWIST2 gene in endometriosis and RPL etiology. The SNRPF protein was found to only be linked to the cellular component organization pathway in-spite of having the highest degree of centrality in the case of the protein-protein interaction network.