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Statistical model for the reproducibility in ranking based feature selection
(2017-10-25)
Recently, concerns about the reproducibility of scientific studies have been growing among the scientific community, mainly due to the existing large quantity of irreproducible results. This has reach such an extent that ...
Are the statistical tests the best way to deal with the biomarker selection problem?
(Springer, 2022-06)
Statistical tests are a powerful set of tools when applied correctly, but unfortunately the extended misuse of them has caused great concern. Among many other applications, they are used in the detection of biomarkers so ...
Penalized Partial Least Square applied to structured data
(Springer, 2020-08)
Nowadays, data analysis applied to high dimension has arisen. The edification of high-dimensional data can be achieved by the gathering of different independent data. However, each independent set can introduce its own ...
Ideafix: a decision tree-based method for the refinement of variants in FFPE DNA sequencing data
(Oxford University Press, 2021-12)
[EN]Increasingly, treatment decisions for cancer patients are being made from next-generation sequencing results generated from formalin-fixed and paraffin-embedded (FFPE) biopsies. However, this material is prone to ...
An R package for permutations, Mallows and Generalized Mallows models
(2014-01-22)
[EN]Probability models on permutations associate a probability value to each of the permutations on n items. This paper considers two popular probability models, the Mallows model and the Generalized Mallows model. We ...
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony
(2010)
Haplotype data is especially important in the study of complex diseases
since it contains more information than genotype data. However,
obtaining haplotype data is technically difficult and expensive. Computational
methods ...
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
(Public Library of Science, 2009-07-20)
Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: ...
Prioritization of candidate cancer genes-an aid to oncogenomic studies
(Oxford University Press, 2008-10)
The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing ...
Sampling and learning the Mallows and Generalized Mallows models under the Cayley distance
(2014-01-22)
[EN]The Mallows and Generalized Mallows models are compact yet powerful and natural ways of representing a probability distribution over the space of permutations. In this paper we deal with the problems of sampling and ...
Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance
(2014-01-22)
[EN]In this paper we deal with distributions over permutation spaces. The Mallows model is the mode l in use. The associated distance for permutations is the Hamming distance.