Self-supervised deep learning encodes high-resolution features of protein subcellular localization | Nature Methods
Explaining the diversity and complexity of protein localization is essential to fully understand cellular architecture. Here researchers present cytoself, a deep-learning approach for fully self-supervised protein localization profiling and clustering. Cytoself leverages a self-supervised training scheme that does not require preexisting knowledge, categories or annotations.
Symptoms and risk factors for long COVID in non-hospitalized adults | Nature Medicine
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated with a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 condition or long COVID. Researchers undertook a retrospective matched cohort study using a UK-based primary care database, Clinical Practice Research Datalink Aurum, to determine symptoms that are associated with confirmed SARS-CoV-2 infection beyond 12 weeks in non-hospitalized adults and the risk factors associated with developing persistent symptoms.
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations | Bioinformatics
Cancer develops through a process of clonal evolution in which an initially healthy cell gives rise to progeny gradually differentiating through the accumulation of genetic and epigenetic mutations. In this work, researchers develop a tumor phylogeny method, TUSV-ext, which incorporates single-nucleotide variants (SNVs), copy number alterations (CNAs) and structural variations (SVs) into a single inference framework.