Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary.
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.
Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations.
Single-cell genome sequencing of human neurons identifies somatic point mutation and indel enrichment in regulatory elements.
