Works matching IS 17560381 AND DT 2016 AND VI 9
Results: 42
The Interaction Network Ontologysupported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.
- Published in:
- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0118-0
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- Article
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0119-z
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- Article
matK-QR classifier: a patterns based approach for plant species identification.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0120-6
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- Article
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0116-2
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- Article
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0117-1
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- Article
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0114-4
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- Article
Considerations for higher efficiency and productivity in research activities.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0115-3
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- Article
On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0112-6
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- Article
Developing a modular architecture for creation of rule-based clinical diagnostic criteria.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0113-5
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- Article
Low-mass-ion discriminant equation (LOME) for ovarian cancer screening.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0111-7
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- Article
msBiodat analysis tool, big data analysis for high-throughput experiments.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0104-6
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- Article
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0108-2
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- Article
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.
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- 2016
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- Publication type:
- Editorial
Functional networks inference from rule-based machine learning models.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0106-4
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- Publication type:
- Article
A biologically informed method for detecting rare variant associations.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0107-3
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- Article
FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0110-8
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- Publication type:
- Article
Mango: combining and analyzing heterogeneous biological networks.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0105-5
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- Publication type:
- Article
Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0103-7
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- Publication type:
- Article
Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0103-7
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- Publication type:
- Article
Representing and querying disease networks using graph databases.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0102-8
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- Publication type:
- Article
Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0101-9
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- Publication type:
- Article
Data integration to prioritize drugs using genomics and curated data.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0097-1
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- Article
SePIA: RNA and small RNA sequence processing, integration, and analysis.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0099-z
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- Publication type:
- Article
Machine learning algorithms for mode-of-action classification in toxicity assessment.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0098-0
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- Article
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0094-4
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- Article
Building a glaucoma interaction network using a text mining approach.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0096-2
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- Publication type:
- Article
Visual programming for next-generation sequencing data analytics.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0095-3
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- Article
The golden era of biomedical informatics has begun.
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- 2016
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- Publication type:
- Editorial
Detecting gene-gene interactions using a permutation-based random forest method.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0093-5
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- Publication type:
- Article
Distinguishing highly similar gene isoforms with a clustering-based bioinformatics analysis of PacBio single-molecule long reads.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0090-8
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- Publication type:
- Article
Evolutionary triangulation: informing genetic association studies with evolutionary evidence.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0091-7
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- Article
Robust normalization protocols for multiplexed fluorescence bioimage analysis.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0088-2
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- Publication type:
- Article
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0089-1
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- Article
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology.
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- 2016
- Publication type:
- Correction Notice
Erratum to: BioDB extractor: customized data extraction system for commonly used bioinformatics databases.
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- 2016
- Publication type:
- Correction Notice
The prediction accuracy of dynamic mixed-effects models in clustered data.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0084-6
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- Publication type:
- Article
SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0083-7
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- Article
Prediction of donor splice sites using random forest with a new sequence encoding approach.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0086-4
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- Publication type:
- Article
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0082-8
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- Publication type:
- Article
Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-015-0078-9
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- Publication type:
- Article
A call for biological data mining approaches in epidemiology.
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- 2016
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- Publication type:
- Editorial
r2VIM: A new variable selection method for random forests in genome-wide association studies.
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- BioData Mining, 2016, v. 9, p. 1, doi. 10.1186/s13040-016-0087-3
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- Publication type:
- Article