The optimal crowd learning machine
Any family of learning machines can be combined into a single learning machine using various methods with myriad degrees of usefulness. (Source: BioData Mining)
Source: BioData Mining - May 19, 2017 Category: Bioinformatics Authors: Bilguunzaya Battogtokh, Majid Mojirsheibani and James Malley Source Type: research
Study of Meta-analysis strategies for network inference using information-theoretic approaches
Reverse engineering of gene regulatory networks (GRNs) from gene expression data is a classical challenge in systems biology. Thanks to high-throughput technologies, a massive amount of gene-expression data ha... (Source: BioData Mining)
Source: BioData Mining - May 6, 2017 Category: Bioinformatics Authors: Ngoc C. Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi and Patrick E. Meyer Source Type: research
Feature analysis for classification of trace fluorescent labeled protein crystallization images
Large number of features are extracted from protein crystallization trial images to improve the accuracy of classifiers for predicting the presence of crystals or phases of the crystallization process. The exc... (Source: BioData Mining)
Source: BioData Mining - April 27, 2017 Category: Bioinformatics Authors: Madhav Sigdel, Imren Dinc, Madhu S. Sigdel, Semih Dinc, Marc L. Pusey and Ramazan S. Aygun Source Type: research
Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery
A computational evolution system (CES) is a knowledge discovery engine that can identify subtle, synergistic relationships in large datasets. Pareto optimization allows CESs to balance accuracy with model comp... (Source: BioData Mining)
Source: BioData Mining - April 24, 2017 Category: Bioinformatics Authors: Nathaniel M. Crabtree, Jason H. Moore, John F. Bowyer and Nysia I. George Source Type: research
Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution
Discovering relevant features (biomarkers) that discriminate etiologies of a disease is useful to provide biomedical researchers with candidate targets for further laboratory experimentation while saving costs... (Source: BioData Mining)
Source: BioData Mining - March 15, 2017 Category: Bioinformatics Authors: Nestor Rodriguez and Sergio Rojas –Galeano Source Type: research
Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces
Databases are imperative for research in bioinformatics and computational biology. Current challenges in database design include data heterogeneity and context-dependent interconnections between data entities.... (Source: BioData Mining)
Source: BioData Mining - March 11, 2017 Category: Bioinformatics Authors: Elishai Ezra Tsur Source Type: research
Label-free data standardization for clinical metabolomics
In metabolomics, thousands of substances can be detected in a single assay. This capacity motivates the development of metabolomics testing, which is currently a very promising option for improving laboratory ... (Source: BioData Mining)
Source: BioData Mining - February 28, 2017 Category: Bioinformatics Authors: Petr G. Lokhov, Dmitri L. Maslov, Oleg N. Kharibin, Elena E. Balashova and Alexander I. Archakov Source Type: research
Variant Set Enrichment: an R package to identify disease-associated functional genomic regions
Genetic predispositions to diseases populate the noncoding regions of the human genome. Delineating their functional basis can inform on the mechanisms contributing to disease development. However, this remain... (Source: BioData Mining)
Source: BioData Mining - February 22, 2017 Category: Bioinformatics Authors: Musaddeque Ahmed, Richard C. Sallari, Haiyang Guo, Jason H. Moore, Housheng Hansen He and Mathieu Lupien Source Type: research
Erratum to: Meta-analytic support vector machine for integrating multiple omics data
(Source: BioData Mining)
Source: BioData Mining - February 14, 2017 Category: Bioinformatics Authors: SungHwan Kim, Jae-Hwan Jhong, JungJun Lee and Ja-Yong Koo Source Type: research
Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support
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... (Source: BioData Mining)
Source: BioData Mining - February 10, 2017 Category: Bioinformatics Authors: Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi and Syed Sibte Raza Abidi Source Type: research
