Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and
cell growth are common hallmarks of cancer, but the extent, mechanisms, and co-…

Deep learning describes a class of machine learning algorithms that are capable of combining
raw inputs into layers of intermediate features. These algorithms have recently shown …

DNA damage repair (DDR) pathways modulate cancer risk, progression, and therapeutic
response. We systematically analyzed somatic alterations to provide a comprehensive view of …

Tissue and cell-type identity lie at the core of human physiology and disease. Understanding
the genetic underpinnings of complex tissues and individual cell lineages is crucial for …

Background A major bottleneck in our understanding of the molecular underpinnings of life
is the assignment of function to proteins. While molecular experiments provide the most …

Background: Data sharing accelerates scientific progress but sharing individual-level data
while preserving patient privacy presents a barrier. Methods and Results: Using pairs of deep …

Background Numerous publications describe the clinical manifestations of post-acute
sequelae of SARS-CoV-2 (PASC or "long COVID"), but they are difficult to integrate because of …

Breakthroughs in artificial intelligence (AI) hold enormous potential as it can automate complex
tasks and go even beyond human performance. In their study, McKinney et al. 1 showed …

Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective
immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets …

Replication has become the gold standard for assessing statistical results from genome-wide
association studies. Unfortunately this replication requirement may cause real genetic …