Deep learning: new computational modelling techniques for genomics
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …
dependencies in data and derive novel biological hypotheses. However, the ability to extract …
Metabolomics of temperature stress
Plants possess inducible tolerance mechanisms that extend the temperature range for
survival during acute temperature stress. The inducible mechanisms of cold acclimation and …
survival during acute temperature stress. The inducible mechanisms of cold acclimation and …
The Asian atopic dermatitis phenotype combines features of atopic dermatitis and psoriasis with increased TH17 polarization
Background Atopic dermatitis (AD) shows very high prevalence in Asia, with a large unmet
need for effective therapeutics. Direct comparisons between European American (EA) and …
need for effective therapeutics. Direct comparisons between European American (EA) and …
Gas chromatography mass spectrometry–based metabolite profiling in plants
The concept of metabolite profiling has been around for decades, but technical innovations
are now enabling it to be carried out on a large scale with respect to the number of both …
are now enabling it to be carried out on a large scale with respect to the number of both …
pcaMethods—a bioconductor package providing PCA methods for incomplete data
pcaMethods is a Bioconductor compliant library for computing principal component analysis
(PCA) on incomplete data sets. The results can be analyzed directly or used to estimate …
(PCA) on incomplete data sets. The results can be analyzed directly or used to estimate …
Linear versus nonlinear PCA for the classification of hyperspectral data based on the extended morphological profiles
Morphological profiles (MPs) have been proposed in recent literature as aiding tools to
achieve better results for classification of remotely sensed data. MPs are in general built …
achieve better results for classification of remotely sensed data. MPs are in general built …
Transcript and metabolite profiling during cold acclimation of Arabidopsis reveals an intricate relationship of cold‐regulated gene expression with modifications in …
Exposure of Arabidopsis to low temperatures results in cold acclimation where freezing
tolerance is enhanced. To achieve a wider view of the role of transcriptome to biochemical …
tolerance is enhanced. To achieve a wider view of the role of transcriptome to biochemical …
Identification of primary and secondary metabolites with phosphorus status‐dependent abundance in Arabidopsis, and of the transcription factor PHR1 as a major …
Massive changes in gene expression occur when plants are subjected to phosphorus (P)
limitation, but the breadth of metabolic changes in these conditions and their regulation is …
limitation, but the breadth of metabolic changes in these conditions and their regulation is …
Imputation of missing values for compositional data using classical and robust methods
K Hron, M Templ, P Filzmoser - Computational Statistics & Data Analysis, 2010 - Elsevier
New imputation algorithms for estimating missing values in compositional data are
introduced. A first proposal uses the k-nearest neighbor procedure based on the Aitchison …
introduced. A first proposal uses the k-nearest neighbor procedure based on the Aitchison …
Metabolomics technologies and metabolite identification
Metabolomics studies rely on the analysis of the multitude of small molecules (metabolites)
present in a biological system. Most commonly, metabolomics is heavily supported by mass …
present in a biological system. Most commonly, metabolomics is heavily supported by mass …