Cellular processes are typically carried out by protein complexes and functional modules.
Identifying them plays an important role for our attempt to reveal principles of cellular …

The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …

Protein–protein interaction networks are mathematical constructs where every protein is
represented as a node, with an edge signaling that two proteins interact. These constructs …

It is well known that dense coding with local bases (via Least Square coding schemes) can
lead to large quantization errors or poor performances of machine learning tasks. On the …

Cost-efficient next generation sequencers can now produce unprecedented volumes of raw
DNA data, posing challenges for annotation. Supervised machine learning approaches …

In this dissertation, we show two significant applications of combinatorial branch-and-bound
as an exact solution methodology in combinatorial optimization problems. In the first …

Successful advances in biochemical technologies have led to inexpensive, time-efficient
production of massive volumes of data, DNA and protein sequences. As a result, numerous …