BioData Mining
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Robust and rigorous identification of tissue-specific genes by statistically extending tau score
BioData Mining - Tập 15 - Trang 1-14 - 2022
In this study, we aimed to identify tissue-specific genes for various human tissues/organs more robustly and rigorously by extending the tau score algorithm. Tissue-specific genes are a class of genes whose functions and expressions are preferred in one or several tissues restrictedly. Identification of tissue-specific genes is essential for discovering multi-cellular biological processes such as ...... hiện toàn bộ
Graph representation of high-dimensional alpha-helical membrane protein data
BioData Mining - Tập 6 - Trang 1-14 - 2013
In genomics and proteomics, membrane protein analysis have shown that such analyses are very important to support the understanding of complex biological processes. In Genome-wide investigations of membrane proteins a large number of short, distinct sequence motifs has been revealed. Such motifs found so far support the understanding of the folded membrane protein in the membrane environment. They...... hiện toàn bộ
Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration
BioData Mining - Tập 3 - Trang 1-14 - 2010
Scientific data integration and computational service discovery are challenges for the bioinformatic community. This process is made more difficult by the separate and independent construction of biological databases, which makes the exchange of data between information resources difficult and labor intensive. A recently described semantic web protocol, the Simple Semantic Web Architecture and Pro...... hiện toàn bộ
Interpol: An R package for preprocessing of protein sequences
BioData Mining - Tập 4 - Trang 1-6 - 2011
Most machine learning techniques currently applied in the literature need a fixed dimensionality of input data. However, this requirement is frequently violated by real input data, such as DNA and protein sequences, that often differ in length due to insertions and deletions. It is also notable that performance in classification and regression is often improved by numerical encoding of amino acids...... hiện toàn bộ
Erratum to: An iteration normalization and test method for differential expression analysis of RNA-seq data
BioData Mining - Tập 7 - Trang 1-1 - 2014
No abstract
A feature selection method based on multiple kernel learning with expression profiles of different types
BioData Mining - Tập 10 - Trang 1-16 - 2017
With the development of high-throughput technology, the researchers can acquire large number of expression data with different types from several public databases. Because most of these data have small number of samples and hundreds or thousands features, how to extract informative features from expression data effectively and robustly using feature selection technique is challenging and crucial. ...... hiện toàn bộ
Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments
BioData Mining - Tập 2 - Trang 1-13 - 2009
Quality assessment methods, that are common place in engineering and industrial production, are not widely spread in large-scale proteomics experiments. But modern technologies such as Multi-Dimensional Liquid Chromatography coupled to Mass Spectrometry (LC-MS) produce large quantities of proteomic data. These data are prone to measurement errors and reproducibility problems such that an automatic...... hiện toàn bộ
Identification of influential observations in high-dimensional cancer survival data through the rank product test
BioData Mining - Tập 11 - Trang 1-14 - 2018
Survival analysis is a statistical technique widely used in many fields of science, in particular in the medical area, and which studies the time until an event of interest occurs. Outlier detection in this context has gained great importance due to the fact that the identification of long or short-term survivors may lead to the detection of new prognostic factors. However, the results obtained us...... hiện toàn bộ
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
BioData Mining - - 2024
Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus effects, partly because analyzing all pairwise and higher-order interactions requires significant computational resources. Furthermore, existing methods for epistasis detection only consider ...... hiện toàn bộ
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