Elevated transcriptional levels of aldolase A (ALDOA) associates with cell cycle-related genes in patients with NSCLC and several solid tumors
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... (Source: BioData Mining)
Source: BioData Mining - February 7, 2017 Category: Bioinformatics Authors: Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui and Yu-Kun Cui Source Type: research
Gene set analysis controlling for length bias in RNA-seq experiments
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... (Source: BioData Mining)
Source: BioData Mining - February 6, 2017 Category: Bioinformatics Authors: Xing Ren, Qiang Hu, Song Liu, Jianmin Wang and Jeffrey C. Miecznikowski Source Type: research
A feature selection method based on multiple kernel learning with expression profiles of different types
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 ... (Source: BioData Mining)
Source: BioData Mining - February 2, 2017 Category: Bioinformatics Authors: Wei Du, Zhongbo Cao, Tianci Song, Ying Li and Yanchun Liang Source Type: research
Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data
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... (Source: BioData Mining)
Source: BioData Mining - February 1, 2017 Category: Bioinformatics Authors: Hyeonjeong Lee and Miyoung Shin Source Type: research
Meta-analytic support vector machine for integrating multiple omics data
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 (... (Source: BioData Mining)
Source: BioData Mining - January 26, 2017 Category: Bioinformatics Authors: SungHwan Kim, Jae-Hwan Jhong, JungJun Lee and Ja-Yong Koo Source Type: research
Accurate prediction of protein relative solvent accessibility using a balanced model
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... (Source: BioData Mining)
Source: BioData Mining - January 24, 2017 Category: Bioinformatics Authors: Wei Wu, Zhiheng Wang, Peisheng Cong and Tonghua Li Source Type: research
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature
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... (Source: BioData Mining)
Source: BioData Mining - December 19, 2016 Category: Bioinformatics Authors: Arzucan Özgür, Junguk Hur and Yongqun He Source Type: research
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies
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... (Source: BioData Mining)
Source: BioData Mining - December 12, 2016 Category: Bioinformatics Authors: Samantha Cheng, Angeline S. Andrew, Peter C. Andrews and Jason H. Moore Source Type: research
matK-QR classifier: a patterns based approach for plant species identification
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... (Source: BioData Mining)
Source: BioData Mining - December 9, 2016 Category: Bioinformatics Authors: Ravi Prabhakar More, Rupali Chandrashekhar Mane and Hemant J. Purohit Source Type: research
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification
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... (Source: BioData Mining)
Source: BioData Mining - December 6, 2016 Category: Bioinformatics Authors: Giulia Fiscon, Emanuel Weitschek, Eleonora Cella, Alessandra Lo Presti, Marta Giovanetti, Muhammed Babakir-Mina, Marco Ciotti, Massimo Ciccozzi, Alessandra Pierangeli, Paola Bertolazzi and Giovanni Felici Source Type: research
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification
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... (Source: BioData Mining)
Source: BioData Mining - December 1, 2016 Category: Bioinformatics Authors: Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong and Kelvin K. L. Wong Source Type: research
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach
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 ... (Source: BioData Mining)
Source: BioData Mining - November 18, 2016 Category: Bioinformatics Authors: Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia K älsch, Ali Canbay and Dominik Heider Source Type: research
Considerations for higher efficiency and productivity in research activities
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... (Source: BioData Mining)
Source: BioData Mining - November 9, 2016 Category: Bioinformatics Authors: Diego A. Forero and Jason H. Moore Source Type: research
On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs
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... (Source: BioData Mining)
Source: BioData Mining - November 2, 2016 Category: Bioinformatics Authors: Sacha Beaumeunier, J érôme Audoux, Anthony Boureux, Florence Ruffle, Thérèse Commes, Nicolas Philippe and Ronnie Alves Source Type: research
Developing a modular architecture for creation of rule-based clinical diagnostic criteria
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... (Source: BioData Mining)
Source: BioData Mining - October 21, 2016 Category: Bioinformatics Authors: Na Hong, Jyotishman Pathak, Christopher G. Chute and Guoqian Jiang Source Type: research
