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6 papers
Privacy-preserving patient clustering for personalized federated learning
Ahmed Elhussein, Gamze Gursoy
Federated Learning (FL) is a machine learning framework that enables multiple organizations to train a model without sharing their data with a central server. However, it experienc…
Quantum Computing at the Frontiers of Biological Sciences
Prashant S. Emani, Jonathan Warrell, Alan Anticevic +15
The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we pus…
Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program
Michael P Snyder, Shin Lin, Amanda Posgai +22
Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…
Joint analysis of functional genomic data and genome-wide association studies of 18 human traits
Joseph K. Pickrell
Annotations of gene structures and regulatory elements can inform genome-wide association studies (GWAS). However, choosing the relevant annotations for interpreting an association…
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Keith R. Bradnam, Joseph N. Fass, Anton Alexandrov +88
Background - The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished g…
Progressive Mauve: Multiple alignment of genomes with gene flux and rearrangement
Aaron E. Darling, Bob Mau, Nicole T. Perna
Multiple genome alignment remains a challenging problem. Effects of recombination including rearrangement, segmental duplication, gain, and loss can create a mosaic pattern of homo…