BioData Mining 2017 10:8
Published on: 14 February 2017
Skip to main content
BioData Mining 2017 10:8
Published on: 14 February 2017
Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians’ experiences...
BioData Mining 2017 10:7
Published on: 10 February 2017
Aldolase A (ALDOA) is one of the glycolytic enzymes primarily found in the developing embryo and adult muscle. Recently, a new role of ALDOA in several cancers has been proposed. However, the underlying mechan...
BioData Mining 2017 10:6
Published on: 7 February 2017
In gene set analysis, the researchers are interested in determining the gene sets that are significantly correlated with an outcome, e.g. disease status or treatment. With the rapid development of high through...
BioData Mining 2017 10:5
Published on: 6 February 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 ...
BioData Mining 2017 10:4
Published on: 2 February 2017
The problem of discovering genetic markers as disease signatures is of great significance for the successful diagnosis, treatment, and prognosis of complex diseases. Even if many earlier studies worked on iden...
BioData Mining 2017 10:3
Published on: 1 February 2017
Of late, high-throughput microarray and sequencing data have been extensively used to monitor biomarkers and biological processes related to many diseases. Under this circumstance, the support vector machine (...
BioData Mining 2017 10:2
Published on: 26 January 2017
Protein relative solvent accessibility provides insight into understanding protein structure and function. Prediction of protein relative solvent accessibility is often the first stage of predicting other prot...
BioData Mining 2017 10:1
Published on: 24 January 2017
The Interaction Network Ontology (INO) logically represents biological interactions, pathways, and networks. INO has been demonstrated to be valuable in providing a set of structured ontological terms and asso...
BioData Mining 2016 9:41
Published on: 19 December 2016
Bladder cancer is common disease with a complex etiology that is likely due to many different genetic and environmental factors. The goal of this study was to embrace this complexity using a bioinformatics ana...
BioData Mining 2016 9:40
Published on: 12 December 2016
DNA barcoding is widely used and most efficient approach that facilitates rapid and accurate identification of plant species based on the short standardized segment of the genome. The nucleotide sequences of m...
BioData Mining 2016 9:39
Published on: 9 December 2016
Continuous improvements in next generation sequencing technologies led to ever-increasing collections of genomic sequences, which have not been easily characterized by biologists, and whose analysis requires h...
BioData Mining 2016 9:38
Published on: 6 December 2016
An imbalanced dataset is defined as a training dataset that has imbalanced proportions of data in both interesting and uninteresting classes. Often in biomedical applications, samples from the stimulating clas...
BioData Mining 2016 9:37
Published on: 1 December 2016
Biomarker discovery methods are essential to identify a minimal subset of features (e.g., serum markers in predictive medicine) that are relevant to develop prediction models with high accuracy. By now, there ...
BioData Mining 2016 9:36
Published on: 18 November 2016
There are several factors that are known to affect research productivity; some of them imply the need for large financial investments and others are related to work styles. There are some articles that provide...
BioData Mining 2016 9:35
Published on: 9 November 2016
High-throughput sequencing technology and bioinformatics have identified chimeric RNAs (chRNAs), raising the possibility of chRNAs expressing particularly in diseases can be used as potential biomarkers in bot...
BioData Mining 2016 9:34
Published on: 2 November 2016
With recent advances in computerized patient records system, there is an urgent need for producing computable and standards-based clinical diagnostic criteria. Notably, constructing rule-based clinical diagnos...
BioData Mining 2016 9:33
Published on: 21 October 2016
A low-mass-ion discriminant equation (LOME) was constructed to investigate whether systematic low-mass-ion (LMI) profiling could be applied to ovarian cancer (OVC) screening.
BioData Mining 2016 9:32
Published on: 12 October 2016
Redundant hierarchical relations refer to such patterns as two paths from one concept to another, one with length one (direct) and the other with length greater than one (indirect). Each redundant relation rep...
BioData Mining 2016 9:31
Published on: 10 October 2016
Studying the functions and structures of proteins is important for understanding the molecular mechanisms of life. The number of publicly available protein structures has increasingly become extremely large. S...
BioData Mining 2016 9:30
Published on: 23 September 2016
Modern cohort studies include self-reported measures on disease, behavior and lifestyle, sensor-based observations from mobile phones and wearables, and rich -omics data. Follow-up is often achieved through el...
BioData Mining 2016 9:29
Published on: 22 September 2016
Functional networks play an important role in the analysis of biological processes and systems. The inference of these networks from high-throughput (-omics) data is an area of intense research. So far, the si...
BioData Mining 2016 9:28
Published on: 5 September 2016
BioBin is a bioinformatics software package developed to automate the process of binning rare variants into groups for statistical association analysis using a biological knowledge-driven framework. BioBin col...
BioData Mining 2016 9:27
Published on: 30 August 2016
Mass spectrometry (MS) are a group of a high-throughput techniques used to increase knowledge about biomolecules. They produce a large amount of data which is presented as a list of hundreds or thousands of pr...
BioData Mining 2016 9:26
Published on: 19 August 2016
Heterogeneous biological data such as sequence matches, gene expression correlations, protein-protein interactions, and biochemical pathways can be merged and analyzed via graphs, or networks. Existing softwar...
BioData Mining 2016 9:25
Published on: 2 August 2016