MAMS: matrix and analysis metadata standards to facilitate harmonization and reproducibility of single-cell data.
Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patients.
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.
