20 citations · 97 across the 23 of their papers we have counts for
5 papers · 1 filter
Weighted graphlets and deep neural networks for protein structure classification
Hongyu Guo, Khalique Newaz, Scott Emrich +2
As proteins with similar structures often have similar functions, analysis of protein structures can help predict protein functions and is thus important. We consider the problem o…
The power of dynamic social networks to predict individuals' mental health
Shikang Liu, David Hachen, Omar Lizardo +3
Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…
Network analysis of synonymous codon usage
Khalique Newaz, Gabriel Wright, Jacob Piland +4
Most amino acids are encoded by multiple synonymous codons. For an amino acid, some of its synonymous codons are used much more rarely than others. Analyses of positions of such ra…
Heterogeneous network approach to predict individuals' mental health
Shikang Liu, Fatemeh Vahedian, David Hachen +4
Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…
Data-driven network alignment
Shawn Gu, Tijana Milenkovic
Biological network alignment (NA) aims to find a node mapping between species' molecular networks that uncovers similar network regions, thus allowing for transfer of functional kn…