Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–6 of 6 results
Advanced filters: Author: Boris Sokolov Clear advanced filters
  • Studying many-body quantum chaos on current quantum hardware is hindered by noise and limited scalability. Now it is shown that a superconducting processor, combined with error mitigation, can accurately simulate dual-unitary circuit dynamics.

    • Laurin E. Fischer
    • Matea Leahy
    • Sergey N. Filippov
    Research
    Nature Physics
    P: 1-6
  • Comprehensive analyses of 178 lung squamous cell carcinomas by The Cancer Genome Atlas project show that the tumour type is characterized by complex genomic alterations, with statistically recurrent mutations in 11 genes, including TP53 in nearly all samples; a potential therapeutic target is identified in most of the samples studied.

    • Peter S. Hammerman
    • Michael S. Lawrence
    • Matthew Meyerson
    ResearchOpen Access
    Nature
    Volume: 489, P: 519-525
  • The Cancer Genome Atlas Network describe their multifaceted analyses of primary breast cancers, shedding light on breast cancer heterogeneity; although only three genes (TP53, PIK3CA and GATA3) are mutated at a frequency greater than 10% across all breast cancers, numerous subtype-associated and novel mutations were identified.

    • Daniel C. Koboldt
    • Robert S. Fulton
    • Jacqueline D. Palchik
    ResearchOpen Access
    Nature
    Volume: 490, P: 61-70
  • Current clinical practice is organized according to tissue or organ of origin of tumors. Now, The Cancer Genome Atlas (TCGA) Research Network has started to identify genomic and other molecular commonalities among a dozen different types of cancer. Emerging similarities and contrasts will form the basis for targeted therapies of the future and for repurposing existing therapies by molecular rather than histological similarities of the diseases.

    • Kyle Chang
    • Chad J Creighton
    • Joshua M Stuart
    Comments & OpinionOpen Access
    Nature Genetics
    Volume: 45, P: 1113-1120