Profile image of VedAlek
Member since September 7, 2009
0 Recommendations


Online Offline
- MSc in Mathematics (1991) - post-graduate course in Computer Science (1994) - current occupation - Database Manager
$12 USD/hr
60 reviews
  • 88%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • 24%Repeat Hire Rate


Recent Reviews

  • image of jkenigso Project 4088465 has been deleted $70.00 USD

    “What excellent work. A great communicator, also. Project was completed well ahead of deadline.”

  • image of codermanuk mysql expert needed. new scripts and optimising current DB $750.00 USD

    “waste of time. wasted 2 months of my time then disappeared without contact. dont trust the guy, check his other bad reviews. obviously cant do what he says. TIME WASTER”

  • image of ashghaus VBA project1 $100.00 USD

    “Alex was highly professional. Knew the coding inside out. delivered the project on time. he even added some extra work at the end without any extra cost. would surely recommend him for others as well as hire again.”

  • image of seanwa Google search result extractor $119.00 USD

    “Very impressed with Alexey, would recommend him to anyone!”

  • image of MaryST I neen skilled VB.NET programmer.... $255.00 USD

    “Excellent coder, very knowledgeable and good problem solver. Very recommended. thanks.”

  • image of boitheia Fortran to C# $51.00 USD

    “Rating: 5.0/5.0”


Database Manager

Apr 2010

- MySQL, Oracle 11g databases - development, administration - development of scientific applications



1984 - 1991 (7 years)


Microsoft Access (2009)


C++ (2009)



Permutation-based approaches do not adequately allow for linkage disequilibrium in gene-wide multi-locus association analysis.

We show that the results obtained are internally inconsistent in the presence of strong LD, and are externally inconsistent with the results derived from multi-locus analysis. We also show that the results obtained from regression and multivariate Hotelling T(2) (H-T2) testing, but not those obtained from permutations, are consistent with the theoretically expected distributions, and that the H-T2 test has greater power to detect gene-wide associations in real datasets.


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