The following pages link to FatiGO (Q24247):
Displaying 16 items.
- Identification of critical genes in microarray experiments by a neuro-fuzzy approach (Q883828) (← links)
- Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis (Q995733) (← links)
- The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives (Q2260922) (← links)
- Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology (Q2455419) (← links)
- Multiple testing procedures with applications to genomics. (Q2470259) (← links)
- TreeHugger: a new test for enrichment of gene ontology terms (Q2899054) (← links)
- ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments (Q2903329) (← links)
- Multiobjective Genetic Algorithms for Clustering (Q3058204) (← links)
- (Q3114210) (← links)
- Bioinformatics for High Throughput Sequencing (Q3191914) (← links)
- Multiple tests of association with biological annotation metadata (Q3626771) (← links)
- Ontologies in bioinformatics and systems biology (Q5471647) (← links)
- Bayesian Modeling of Differential Gene Expression (Q5473199) (← links)
- Calculating the Statistical Significance of Changes in Pathway Activity From Gene Expression Data (Q5700455) (← links)
- Incorporating Biological Information as a Prior in an Empirical Bayes Approach to Analyzing Microarray Data (Q5700511) (← links)
- Bayesian functional enrichment analysis for the Reactome database (Q5880177) (← links)
