Samuel S Gross

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi request reprint Using multiple alignments to improve gene prediction
    Samuel S Gross
    Department of Computer Science and Engineering, Washington University, St Louis, MO 63130, USA
    J Comput Biol 13:379-93. 2006
  2. pmc CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction
    Samuel S Gross
    Computer Science Department, Stanford University, Stanford, CA, USA
    Genome Biol 8:R269. 2007
  3. pmc Begin at the beginning: predicting genes with 5' UTRs
    Randall H Brown
    Laboratory for Computational Genomics, Washington University, St Louis, MO 63130, USA
    Genome Res 15:742-7. 2005
  4. pmc Automated cellular annotation for high-resolution images of adult Caenorhabditis elegans
    Sarah J Aerni
    Department of Computer Science, Stanford University, 353 Serra Mall, Stanford, CA 94305, USA
    Bioinformatics 29:i18-26. 2013
  5. ncbi request reprint Feasibility of diffusion-NMR surface-to-volume measurements tested by calculations and computer simulations
    Mark S Conradi
    Department of Physics, Washington University, St Louis, MO 63130 4899, USA
    J Magn Reson 169:196-202. 2004

Collaborators

Detail Information

Publications5

  1. ncbi request reprint Using multiple alignments to improve gene prediction
    Samuel S Gross
    Department of Computer Science and Engineering, Washington University, St Louis, MO 63130, USA
    J Comput Biol 13:379-93. 2006
    ..Analyses of the predictions reveal that N-SCAN's accuracy in both human and fly exceeds that of all previously published whole-genome de novo gene predictors...
  2. pmc CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction
    Samuel S Gross
    Computer Science Department, Stanford University, Stanford, CA, USA
    Genome Biol 8:R269. 2007
    ..CONTRAST predicts exact coding region structures for 65% more human genes than the previous state-of-the-art method, misses 46% fewer exons and displays comparable gains in specificity...
  3. pmc Begin at the beginning: predicting genes with 5' UTRs
    Randall H Brown
    Laboratory for Computational Genomics, Washington University, St Louis, MO 63130, USA
    Genome Res 15:742-7. 2005
    ....
  4. pmc Automated cellular annotation for high-resolution images of adult Caenorhabditis elegans
    Sarah J Aerni
    Department of Computer Science, Stanford University, 353 Serra Mall, Stanford, CA 94305, USA
    Bioinformatics 29:i18-26. 2013
    ..However, annotating individual cells in images of adult C.elegans typically requires expertise and significant manual effort. Automation of this task is therefore critical to enabling high-resolution studies of a large number of genes...
  5. ncbi request reprint Feasibility of diffusion-NMR surface-to-volume measurements tested by calculations and computer simulations
    Mark S Conradi
    Department of Physics, Washington University, St Louis, MO 63130 4899, USA
    J Magn Reson 169:196-202. 2004
    ..Emphasis is placed on the useful range of times t for which NMR determinations of lung S/V are feasible...