We develop and analyze a method to reduce the size of a very large set of data points in a
high-dimensional Euclidean space $\mathbb{R}^d$ to a small set of weighted points such that …

Common fragile sites (CFSs) are chromosome regions prone to breakage upon replication
stress known to drive chromosome rearrangements during oncogenesis. Most CFSs nest in …

Cutaneous aging is characterized by a decline in cellular energy metabolism, which is mainly
caused by detrimental changes in mitochondrial function. The processes involved seem to …

Clustering is a fundamental tool in data mining. It partitions points into groups (clusters) and
may be used to make decisions for each point based on its group. However, this process …

The k-means problem consists of finding k centers in R d that minimize the sum of the squared
distances of all points in an input set P from R d to their closest respective center. Awasthi …

We design a data stream algorithm for the k-means problem, called BICO, that combines the
data structure of the SIGMOD Test of Time award winning algorithm BIRCH [27] with the …

Genome integrity requires replication to be completed before chromosome segregation.
The DNA-replication checkpoint (DRC) contributes to this coordination by inhibiting CDK1, …

Common fragile sites (CFSs) are loci that are hypersensitive to replication stress and hotspots
for chromosomal rearrangements in cancers. CFSs replicate late in S phase, are cell-type …

Background Tumor patients exhibit an increased peripheral demand of fatty acids and
protein. Contrarily, tumors utilize glucose as their main source of energy supply. Thus, a diet …

We apply network flow techniques to find good exit selections for evacuees in an emergency
evacuation. More precisely, we present two algorithms for computing exit distributions using …