The following pages link to BMC Bioinformatics (Q58840):
Displaying 50 items.
- Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groups (Q133196) (← links)
- metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models (Q133215) (← links)
- Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves (Q133728) (← links)
- Steiner tree methods for optimal sub-network identification: an empirical study (Q135025) (← links)
- Integrative analysis of time course metabolic data and biomarker discovery (Q135356) (← links)
- RESCUE: imputing dropout events in single-cell RNA-sequencing data (Q136144) (← links)
- Statistical analysis of real-time PCR data (Q139125) (← links)
- Lag penalized weighted correlation for time series clustering (Q141089) (← links)
- Thresher: determining the number of clusters while removing outliers (Q141743) (← links)
- Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process (Q143151) (← links)
- minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information (Q143207) (← links)
- A simple and robust method for connecting small-molecule drugs using gene-expression signatures (Q149150) (← links)
- Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm (Q149781) (← links)
- The Repertoire Dissimilarity Index as a method to compare lymphocyte receptor repertoires (Q150620) (← links)
- Investigation of model stacking for drug sensitivity prediction (Q150725) (← links)
- Genotype calling in tetraploid species from bi-allelic marker data using mixture models (Q151392) (← links)
- Clone temporal centrality measures for incomplete sequences of graph snapshots (Q153224) (← links)
- catmap: Case-control And TDT Meta-Analysis Package (Q153801) (← links)
- TTCA: an R package for the identification of differentially expressed genes in time course microarray data (Q154880) (← links)
- Covariance regression with random forests (Q5976781) (← links)
- A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design (Q5978125) (← links)
- Fitting Gaussian mixture models on incomplete data (Q5981655) (← links)
- A pseudo-value regression approach for differential network analysis of co-expression data (Q5982036) (← links)
- Publication:66346 (← links)
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