Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …

Abstract Background Emerging evidence from China suggests that coronavirus disease
2019 (COVID-19) is deadlier for infected men than women with a 2.8% fatality rate being …

PURPOSE An ASCO provisional clinical opinion offers timely clinical direction to ASCO's
membership following publication or presentation of potentially practice-changing data from …

Background Cell entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
depends on binding of the viral spike (S) proteins to angiotensin-converting enzyme 2 and …

Mutated or dysregulated transcription factors represent a unique class of drug targets that
mediate aberrant gene expression, including blockade of differentiation and cell death gene …

The high mortality rate of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
infection is a critical concern of the coronavirus disease 2019 (COVID-19) pandemic …

The discovery of drivers of cancer has traditionally focused on protein-coding genes,,–. Here
we present analyses of driver point mutations and structural variants in non-coding regions …

Background Accurate fusion transcript detection is essential for comprehensive
characterization of cancer transcriptomes. Over the last decade, multiple bioinformatic tools …

Organoids are in vitro–cultured three-dimensional structures that recapitulate key aspects of
in vivo organs. They can be established from pluripotent stem cells and from adult stem …

While mutations affecting protein-coding regions have been examined across many
cancers, structural variants at the genome-wide level are still poorly defined. Through …