activity
20142019
most citedUnderstanding cancer complexome using networks, spectral graph theory and multilayer framework

50 citations · 93 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.MN2019

Symmetry in cancer networks identified: Proposal for multi-cancer biomarkers

Pramod Shinde, Loic Marrec, Aparna Rai +5

One of the most challenging problems in biomedicine and genomics is the identification of disease biomarkers. In this study, proteomics data from seven major cancers were used to c…

q-bio.MN2017★ 50 cited

Understanding cancer complexome using networks, spectral graph theory and multilayer framework

Aparna Rai, Priodyuti Pradhan, Jyothi Nagraj +3

Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of n…

q-bio.MN2016★ 11 cited

Dissortativity and duplications in Oral cancer

Pramod Shinde, Alok Yadav, Aparna Rai +1

More than 300,000 new cases worldwide are being diagnosed with oral cancer annually. Complexity of oral cancer renders designing drug targets very difficult. We analyse protein-pro…

q-bio.MN2014

Interaction patterns in diabetes mellitus II network: An RMT relation

Sarika Jalan, Aparna Rai, Amit Kumar Pawar

Diabetes mellitus type II affects around 8 percent of the total adult population in the world. It is the fifth leading cause of death in high income countries and an epidemic in de…

q-bio.MN2014★ 32 cited

Randomness and preserved patterns in cancer network

Aparna Rai, A. Vipin Menon, Sarika Jalan

Breast cancer has been reported to account for the maximum cases among all female cancers till date. In order to gain a deeper insight into the complexities of the disease, we anal…