Advanced

Majority Vote and Other Problems when using Computational Tools.

Vihinen, Mauno LU (2014) In Human Mutation 35(8). p.912-914
Abstract
Computational tools are essential for most of our research. To use these tools, one needs to know how they work. Problems in application of computational methods to variation analysis can appear at several stages and affect, for example, the interpretation of results. Such cases are discussed along with suggestions how to avoid them. The applications include incomplete reporting of methods, especially about the use of prediction tools; method selection on unscientific grounds and without consulting independent method performance assessments; extending application area of methods outside their intended purpose; use of the same data several times for obtaining majority vote; and filtering of datasets so that variants of interest are... (More)
Computational tools are essential for most of our research. To use these tools, one needs to know how they work. Problems in application of computational methods to variation analysis can appear at several stages and affect, for example, the interpretation of results. Such cases are discussed along with suggestions how to avoid them. The applications include incomplete reporting of methods, especially about the use of prediction tools; method selection on unscientific grounds and without consulting independent method performance assessments; extending application area of methods outside their intended purpose; use of the same data several times for obtaining majority vote; and filtering of datasets so that variants of interest are excluded. All these issues can be avoided by discontinuing the use software tools as black boxes. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Human Mutation
volume
35
issue
8
pages
912 - 914
publisher
John Wiley & Sons
external identifiers
  • pmid:24915749
  • wos:000339431600002
  • scopus:84904410108
ISSN
1059-7794
DOI
10.1002/humu.22600
language
English
LU publication?
yes
id
af1353c6-4492-4fad-bd8e-a0d9b9168bd2 (old id 4528932)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/24915749?dopt=Abstract
date added to LUP
2014-07-04 17:58:26
date last changed
2017-08-27 03:32:33
@article{af1353c6-4492-4fad-bd8e-a0d9b9168bd2,
  abstract     = {Computational tools are essential for most of our research. To use these tools, one needs to know how they work. Problems in application of computational methods to variation analysis can appear at several stages and affect, for example, the interpretation of results. Such cases are discussed along with suggestions how to avoid them. The applications include incomplete reporting of methods, especially about the use of prediction tools; method selection on unscientific grounds and without consulting independent method performance assessments; extending application area of methods outside their intended purpose; use of the same data several times for obtaining majority vote; and filtering of datasets so that variants of interest are excluded. All these issues can be avoided by discontinuing the use software tools as black boxes.},
  author       = {Vihinen, Mauno},
  issn         = {1059-7794},
  language     = {eng},
  number       = {8},
  pages        = {912--914},
  publisher    = {John Wiley & Sons},
  series       = {Human Mutation},
  title        = {Majority Vote and Other Problems when using Computational Tools.},
  url          = {http://dx.doi.org/10.1002/humu.22600},
  volume       = {35},
  year         = {2014},
}