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Article
Open AccessAn automated data cleaning method for Electronic Health Records by incorporating clinical knowledge
The use of Electronic Health Records (EHR) data in clinical research is incredibly increasing, but the abundancy of data resources raises the challenge of data cleaning. It can save time if the data cleaning c...
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Article
Open AccessAn ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making
The increasing prevalence of childhood obesity makes it essential to study the risk factors with a sample representative of the population covering more health topics for better preventive policies and interve...
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Article
Open AccessSpatially aware clustering of ion images in mass spectrometry imaging data using deep learning
Computational analysis is crucial to capitalize on the wealth of spatio-molecular information generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial information available in MSI data ...
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Article
Open AccessCurrent animal models for the study of congestion in heart failure: an overview
Congestion (i.e., backward failure) is an important culprit mechanism driving disease progression in heart failure. Nevertheless, congestion remains often underappreciated and clinicians underestimate the impo...
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Article
Open AccessSelective abdominal venous congestion induces adverse renal and hepatic morphological and functional alterations despite a preserved cardiac function
Venous congestion is an important contributor to worsening renal function in heart failure and the cardiorenal syndrome. In patients, it is difficult to study the effects of isolated venous congestion on organ...
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Article
Open AccessACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart
Cardiovascular disease associated with metabolic syndrome has a high prevalence, but the mechanistic basis of metabolic cardiomyopathy remains poorly understood. We characterised the cardiac transcriptome in a...
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Article
Open AccessSoftware-guided versus nurse-directed blood glucose control in critically ill patients: the LOGIC-2 multicenter randomized controlled clinical trial
Blood glucose control in the intensive care unit (ICU) has the potential to save lives. However, maintaining blood glucose concentrations within a chosen target range is difficult in clinical practice and hold...
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Article
Open AccessExternal Validation of a risk stratification model to assist shared decision making for patients starting renal replacement therapy
Shared decision making is nowadays acknowledged as an essential step when deciding on starting renal replacement therapy. Valid risk stratification of prognosis is, besides discussing quality of life, crucial ...
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Article
Open AccessProblems with the nested granularity of feature domains in bioinformatics: the eXtasy case
Data from biomedical domains often have an inherit hierarchical structure. As this structure is usually implicit, its existence can be overlooked by practitioners interested in constructing and evaluating pred...
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Article
Open AccessPredicting breast cancer using an expression values weighted clinical classifier
Clinical data, such as patient history, laboratory analysis, ultrasound parameters-which are the basis of day-to-day clinical decision support-are often used to guide the clinical management of cancer in the p...
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Article
Open AccessNew bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems
DNA microarrays are potentially powerful technology for improving diagnostic classification, treatment selection, and prognostic assessment. The use of this technology to predict cancer outcome has a history o...
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Article
Open AccessA bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs
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Article
Open AccessProteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS
Lymph node status is not part of the staging system for cervical cancer, but provides important information for prognosis and treatment. We investigated whether lymph node status can be predicted with proteomi...
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Chapter and Conference Paper
A Simple Genetic Algorithm for Biomarker Mining
We present a method for prognostics biomarker mining based on a genetic algorithm with a novel fitness function and a bagging-like model averaging scheme. We demonstrate it on publicly available data sets of g...
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Article
Open AccessPredicting receptor-ligand pairs through kernel learning
Regulation of cellular events is, often, initiated via extracellular signaling. Extracellular signaling occurs when a circulating ligand interacts with one or more membrane-bound receptors. Identification of r...
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Article
Open AccessErratum to: TRIzol treatment of secretory phase endometrium allows combined proteomic and mRNA microarray analysis of the same sample in women with and without endometriosis
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Article
Open AccessTRIzol treatment of secretory phase endometrium allows combined proteomic and mRNA microarray analysis of the same sample in women with and without endometriosis
According to mRNA microarray, proteomics and other studies, biological abnormalities of eutopic endometrium (EM) are involved in the pathogenesis of endometriosis, but the relationship between mRNA and protein...
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Article
Open AccessCandidate gene prioritization by network analysis of differential expression using machine learning approaches
Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available. Performing genetic studies frequently re...
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Article
Open AccessL2-norm multiple kernel learning and its application to biomedical data fusion
This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields different extensions of multiple kernel learni...
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Article
Open AccessGene prioritization and clustering by multi-view text mining
Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate genes for a disease for further experimenta...
