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297 results

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1. Statistical correction of the Winner’s Curse explains replication variability in quantitative trait genome-wide association studies.

2. Machine learning framework for assessment of microbial factory performance.

3. An Adaptive Ridge Procedure for L0 Regularization.

4. Spatial statistical tools for genome-wide mutation cluster detection under a microarray probe sampling system.

5. Machine Learning of Protein Interactions in Fungal Secretory Pathways.

6. An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection.

7. LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.

8. Bayesian hierarchical negative binomial models for multivariable analyses with applications to human microbiome count data.

9. Transient crosslinking kinetics optimize gene cluster interactions.

10. Interactive biomedical ontology matching.

11. A data-driven interactome of synergistic genes improves network-based cancer outcome prediction.

12. SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.

13. Regularization and grouping -omics data by GCA method: A transcriptomic case.

14. Efficient pedigree recording for fast population genetics simulation.

15. Application of Multi-Objective Optimization to Pooled Experiments of Next Generation Sequencing for Detection of Rare Mutations.

16. Evaluation of Gene Expression Classification Studies: Factors Associated with Classification Performance.

17. Methylation-level inferences and detection of differential methylation with MeDIP-seq data.

18. A marginalized two-part Beta regression model for microbiome compositional data.

19. A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination.

20. Sparse Bayesian classification and feature selection for biological expression data with high correlations.

21. BioVis Explorer: A visual guide for biological data visualization techniques.

22. Association between matrix metalloproteinases polymorphisms and ovarian cancer risk: A meta-analysis and systematic review.

23. Comparing distributions of polygenic risk scores of type 2 diabetes and coronary heart disease within different populations.

24. Fast and general tests of genetic interaction for genome-wide association studies.

25. A computational method for prediction of matrix proteins in endogenous retroviruses.

26. Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species.

27. A Data Fusion Approach to Enhance Association Study in Epilepsy.

28. An Algorithm for Finding the Singleton Attractors and Pre-Images in Strong-Inhibition Boolean Networks.

29. The Challenge of Stability in High-Throughput Gene Expression Analysis: Comprehensive Selection and Evaluation of Reference Genes for BALB/c Mice Spleen Samples in the Leishmania infantum Infection Model.

30. A Comprehensive Evaluation of Disease Phenotype Networks for Gene Prioritization.

31. SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data.

32. Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test.

33. Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models.

34. Natural Biased Coin Encoded in the Genome Determines Cell Strategy.

35. Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas.

36. Evaluation of Bias-Variance Trade-Off for Commonly Used Post-Summarizing Normalization Procedures in Large-Scale Gene Expression Studies.

37. MicroRNA Array Normalization: An Evaluation Using a Randomized Dataset as the Benchmark.

38. A Novel Strategy for Gene Selection of Microarray Data Based on Gene-to-Class Sensitivity Information.

39. Scaling up data curation using deep learning: An application to literature triage in genomic variation resources.

40. Quickly identifying identical and closely related subjects in large databases using genotype data.

41. Leveraging functional annotations in genetic risk prediction for human complex diseases.

42. A new two-stage method for revealing missing parts of edges in protein-protein interaction networks.

43. GDTN: Genome-Based Delay Tolerant Network Formation in Heterogeneous 5G Using Inter-UA Collaboration.

44. Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data

45. LncRNApred: Classification of Long Non-Coding RNAs and Protein-Coding Transcripts by the Ensemble Algorithm with a New Hybrid Feature.

46. OM-FBA: Integrate Transcriptomics Data with Flux Balance Analysis to Decipher the Cell Metabolism.

47. Fuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters.

48. Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development.

49. Executable pathway analysis using ensemble discrete-state modeling for large-scale data.

50. Benchmarking network propagation methods for disease gene identification.