Since the outbreak of coronavirus disease 2019 (COVID-19), clinicians have tried every effort
to understand the disease, and a brief portrait of its clinical features have been identified. …

We deleted the hypoxia-responsive transcription factor HIF-1α in endothelial cells (EC) to
determine its role during neovascularization. We found that loss of HIF-1α inhibits a number of …

In a previous study, a quorum-sensing signaling system essential for genetic competence in
Streptococcus mutans was identified, characterized, and found to function optimally in …

Despite the increasing importance of data quality and the rich theoretical and practical
contributions in all aspects of data cleaning, there is no single end-to-end off-the-shelf solution to (…

Entity resolution (ER) is a key data integration problem. Despite the efforts in 70+ years in
all aspects of ER, there is still a high demand for democratizing ER - humans are heavily …

Classical approaches to clean data have relied on using integrity constraints, statistics, or
machine learning. These approaches are known to be limited in the cleaning accuracy, which …

Graph pattern matching is typically defined in terms of subgraph isomorphism, which makes
it an np-complete problem. Moreover, it requires bijective functions, which are often too …

Data cleaning has played a critical role in ensuring data quality for enterprise applications.
Naturally, there has been extensive research in this area, and many data cleaning algorithms …

Data cleansing approaches have usually focused on detecting and fixing errors with little
attention to scaling to big datasets. This presents a serious impediment since data cleansing …

Fibrosis can develop in most organs and causes organ failure. The most common type of
lung fibrosis is known as idiopathic pulmonary fibrosis, in which fibrosis starts at the lung …