Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Alternativ können Sie versuchen, selbst über Ihren lokalen Bibliothekskatalog auf das gewünschte Dokument zuzugreifen.
Bei Zugriffsproblemen kontaktieren Sie uns gern.
14 Ergebnisse
Sortierung:
In: The RUSI journal: publication of the Royal United Services Institute for Defence and Security Studies, Band 154, Heft 3, S. 76-79
ISSN: 1744-0378
In: The RUSI journal, Band 147, Heft 5, S. 66-71
ISSN: 1744-0378
In: RUSI journal, Band 147, Heft 5, S. 66-71
ISSN: 0307-1847
In: The American journal of sociology, Band 72, Heft 3, S. 333-334
ISSN: 1537-5390
In: The American journal of sociology, Band 72, Heft 3, S. 332-333
ISSN: 1537-5390
In: The annals of the American Academy of Political and Social Science, Band 22, Heft 2, S. 60-65
ISSN: 1552-3349
In: Current anthropology, Band 33, Heft 5, S. 603-610
ISSN: 1537-5382
In: American annals of the deaf: AAD, Band 128, Heft 5, S. 570-576
ISSN: 1543-0375
In: http://hdl.handle.net/2027/nnc2.ark:/13960/t7dr59p32
Avery Classics (Offsite) copy: Stamped "Union Canal Compy. May 2, 1814." ; Avery Classics (Offsite) copy: Seymour B. Durst Old York Library Collection, Avery Architectural & Fine Arts Library, Columbia University. ; "The advantages of the proposed canal from Lake Erie to Hudson's River, fully illustrated in a correspondence between Gouverneur Morris and Robert Fulton, Esqrs."--p. 5-12. Correspondence dated Feb. 22 and March 3, 1814. ; Signed on p. 4: Gouv. Morris, S. Van Rensselaer, De Witt Clinton, Simeon De Witt, Peter B. Porter, Thomas Eddy, Robert Fulton. ; Caption title. ; Rink, E. Technical Americana, ; Shaw & Shoemaker ; Mode of access: Internet.
BASE
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.
BASE
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.
BASE