Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A stable gene selection in microarray data analysis
A Bayesian Framework for the Analysis of Microarray Expression Data: Regularized t-Test and Statistical Inferences of Gene Changes
Mining gene expression data by interpreting principal components
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene–Gene Interactions
Minimum information about a microarray experiment (MIAME)—toward standards for microarray data
Triclustering in gene expression data analysis: A selected survey
Class prediction and discovery using gene expression data
Gene ontology analysis for RNA-seq: accounting for selection bias
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
One-Class Classification for Microarray Datasets with Feature Selection
Missing value estimation methods for DNA microarrays
R/BHC: fast Bayesian hierarchical clustering for microarray data
A review of feature selection techniques in bioinformatics
Variable selection from random forests: application to gene expression data
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Classification of DNA microarrays using artificial neural networks and ABC algorithm
Cluster validation techniques for genome expression data
A novel ensemble machine learning for robust microarray data classification
Empirical comparison of cross-platform normalization methods for gene expression data
Robust rank aggregation for gene list integration and meta-analysis
Leveraging the Exact Likelihood of Deep Latent Variable Models
Practical and Optimal LSH for Angular Distance
Functional preprocessing for multilayer perceptrons
Comparison of Approximate Methods for Handling Hyperparameters
Algorithms for Sequential Decision Making