The problem of reconstructing a sequence of independent and identically
...
The problem of reconstructing a sequence from the set of its length-k
su...
Motivated by testing for pathogenic diseases we consider a new nonadapti...
Motivated by applications in polymer-based data storage we introduced th...
Maximum Inner Product Search (MIPS) is a popular problem in the machine
...
Random forests are some of the most widely used machine learning models
...
Due to its longevity and enormous information density, DNA is an attract...
In the trace reconstruction problem, one seeks to reconstruct a binary s...
We study the problem of retrieving data from a channel that breaks the i...
Due to the redundant nature of DNA synthesis and sequencing technologies...
Most DNA sequencing technologies are based on the shotgun paradigm: many...
Pairwise alignment of DNA sequencing data is a ubiquitous task in
bioinf...
When an individual's DNA is sequenced, sensitive medical information bec...
Pairwise alignment of DNA sequencing data is a ubiquitous task in
bioinf...
Clustering is a ubiquitous task in data science. Compared to the commonl...
We consider the problem of communicating over a channel that randomly "t...
Due to its longevity and enormous information density, DNA is an attract...
Motivated by DNA-based storage, we study the noisy shuffling channel, wh...