Synthetic DNA is durable and can encode digital data with high density, making it an attractive
medium for data storage. However, recovering stored data on a large-scale currently …

Motivated by applications to distributed storage, Gopalan et al recently introduced the
interesting notion of information-symbol locality in a linear code. By this it is meant that each …

Regenerating codes and codes with locality are two coding schemes that have recently been
proposed, which in addition to ensuring data collection and reliability, also enable efficient …

Current approaches to single-cell transcriptomic analysis are computationally intensive and
require assay-specific modeling, which limits their scope and generality. We propose a …

Long-read sequencing technologies have the potential to produce gold-standard de novo
genome assemblies, but fully exploiting error-prone reads to resolve repeats remains a …

To systematically define molecular features in human tumor cells that determine their
degree of sensitivity to human allogeneic natural killer (NK) cells, we quantified the NK cell …

Single-cell computational pipelines involve two critical steps: organizing cells (clustering)
and identifying the markers driving this organization (differential expression analysis). State-of-…

Current storage technologies can no longer keep pace with exponentially growing amounts
of data. Synthetic DNA offers an attractive alternative due to its potential information density …

Motivated by applications in domains such as social networks and computational biology,
we study the problem of community recovery in graphs with locality. In this problem, pairwise …

A popular approach to model compression is to train an inexpensive student model to mimic
the class probabilities of a highly accurate but cumbersome teacher model. Surprisingly, …