Search
Now showing items 1-7 of 7
One step forward, two steps back; Xeno-MicroRNAs reported in breast milk are artifacts
(Public Library of Science, 2016-01)
Background: MicroRNAs (miRNAs) are short RNA sequences that guide post-transcriptional regulation of gene expression via complementarity to their target mRNAs. Discovered only recently, miRNAs have drawn a lot of attention. ...
Feature selection for microRNA target prediction comparison of one-class feature selection methodologies
(SciTePress, 2016)
Traditionally, machine learning algorithms build classification models from positive and negative examples. Recently, one-class classification (OCC) receives increasing attention in machine learning for problems where the ...
The impact of feature selection on one and two-class classification performance for plant microRNAs
(PeerJ Inc., 2016)
MicroRNAs (miRNAs) are short nucleotide sequences that form a typical hairpin structure which is recognized by a complex enzyme machinery. It ultimately leads to the incorporation of 18-24 nt long mature miRNAs into RISC ...
Feature selection has a large impact on one-class classification accuracy for micrornas in plants
(Hindawi Publishing Corporation, 2016)
MicroRNAs (miRNAs) are short RNA sequences involved in posttranscriptional gene regulation. Their experimental analysis is complicated and, therefore, needs to be supplemented with computational miRNA detection. Currently ...
Differential expression of toxoplasma gondii microRNAs in murine and human hosts
(Springer, 2016)
MicroRNAs are short RNA sequences involved in post-transcriptional gene regulation. MicroRNAs are known for a wide variety of species ranging from bacteria to plants. It has become clear that some cross-kingdom regulation ...
Database normalization is crucial for reliable protein identification in mass spectrometry-based proteomics
(Springer, 2016-02)
Research in proteomics is driven by mass spectrometry, especially the identification of proteins from complex samples. Computational analysis of the resulting data determines the peptide sequences of the recorded spectra ...
Preparing sequence databases for application in proteogenomics
(Springer, 2016-02)
[No abstract available]
