Background: The ability to access, search and analyse secondary structures of a large set of known RNA molecules is very important for deriving improved RNA energy models, for eva...
Mirela Andronescu, Vera Bereg, Holger H. Hoos, Ann...
In this paper we study the problem of approximately releasing the cut function of a graph while preserving differential privacy, and give new algorithms (and new analyses of exis...
Background: Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS)...
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...