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Showing 1–9 of 9 results
Advanced filters: Author: Jim A. Gaffney Clear advanced filters

  • The success of machine learning for scientific discovery normally depends on how well the inherent assumptions match the problem in hand. Here, Thiagarajan et al. alleviate this constraint by allowing the change of optimization criterion in a data-driven approach to emulate complex scientific processes.

    • Jayaraman J. Thiagarajan
    • Bindya Venkatesh
    • Brian Spears
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10

  • With a comprehensive analysis of sequencing data, DNA copy number, gene expression and DNA methylation in a large number of human glioblastomas, The Cancer Genome Atlas project initiative provides a broad overview of the genes and pathways that are altered in this cancer type.

    • Roger McLendon
    • Allan Friedman
    • Elizabeth Thomson
    Research
    Nature
    Volume: 455, P: 1061-1068

  • An integrated transcriptome, genome, methylome and proteome analysis of over 200 lung adenocarcinomas reveals high rates of somatic mutations, 18 statistically significantly mutated genes including RIT1 and MGA, splicing changes, and alterations in MAPK and PI(3)K pathway activity.

    • Eric A. Collisson
    • Joshua D. Campbell
    • Ming-Sound Tsao
    ResearchOpen Access
    Nature
    Volume: 511, P: 543-550

  • This Perspective discusses how high-energy-density physics could tap the potential of AI-inspired algorithms for extracting relevant information and how data-driven automatic control routines may be used for optimizing high-repetition-rate experiments.

    • Peter W. Hatfield
    • Jim A. Gaffney
    • Ben Williams
    Reviews
    Nature
    Volume: 593, P: 351-361

  • Phytophthora infestans is a fungus-like eukaryote and the most destructive pathogen of potato, with current annual worldwide potato crop losses due to late blight estimated at $6.7 billion. Here, the sequence of the P. infestans genome is reported. Comparison with two other Phytophthora genomes showed rapid turnover and extensive expansion of certain secreted disease effector proteins, probably explaining the rapid adaptability of the pathogen to host plants.

    • Brian J. Haas
    • Sophien Kamoun
    • Chad Nusbaum
    ResearchOpen Access
    Nature
    Volume: 461, P: 393-398

  • The transcriptional circuitry that controls the differentiation of hematopoietic stem cells into cells of the immune system is only partially understood. Koller and colleagues use a computational algorithm to identify previously unknown differentiation stage–specific regulators of mouse hematopoiesis.

    • Vladimir Jojic
    • Tal Shay
    • Shannon Turley
    Research
    Nature Immunology
    Volume: 14, P: 633-643