Browsing by Author "Cheung, Kei-Hoi"

Now showing items 1-4 of 4

    • ALFRED: An allele frequency database for anthropology 

      Osier, Michael; Cheung, Kei-Hoi; Kidd, Judith; Pakstis, Andrew; Miller, Perry; Kidd, Kenneth (Wiley: American Journal of Physical Anthropology, 2002-09)
      The deluge of data from the human genome project (HGP) presents new opportunities for molecular anthropologists to study human variation through the promise of vast numbers of new polymorphisms (e.g., single nucleotide ...

    • ALFRED: the ALelle FREquency Database. Update 

      Rajeevan, H.; Osier, Michael; Cheung, Kei-Hoi; Deng, H.; Druskin, L.; Heinzen, R.; Kidd, J.; Stein, S.; Pakstis, Andrew; Tosches, N.; Yeh, C.; Miller, Perry; Kidd, K. (Oxford University Press: Nucleic Acids Research, 2003-01-01)
      Elaboration of ALFRED (http://alfred.med.yale.edu) is being continued in two directions. One of which is developing tools for efficiently annotating the entries and checking the integrity of the data already in the database ...

    • Handling multiple testing while interpreting microarrays with the Gene Ontology Database 

      Osier, Michael; Zhao, Hongyu; Cheung, Kei-Hoi (BioMed Central: BMC Bioinformatics, 2004-09-06)
      Background The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these ...

    • A high productivity/low maintenance approach to high-performance computation for biomedicine: four case studies 

      Carriero, Nicholas; Osier, Michael; Cheung, Kei-Hoi; Miller, Perry; Gerstein, Mark; Zhao, Hongyu; Wu, Baolin; Rifkin, Scott; Chang, Joseph; Zhang, Heping; White, Kevin; Williams, Kenneth; Schultz, Martin (American Medical Informatics Association: Journal of the American Medical Informatics Association, 2005-01)
      The rapid advances in high-throughput biotechnologies such as DNA microarrays and mass spectrometry have generated vast amounts of data ranging from gene expression to proteomics data. The large size and complexity involved ...