Multiple transcription factors coordinately control transcriptional regulation of genes in eukaryotes. Although multiple computational methods...

Over the last two decades, non-parametric and semi-parametric approaches that adapt well known techniques such...

Recurrent events models have lately received a lot of attention in the literature. The majority...

We propose a bivariate survival function estimator for a general right censored data structure that...

A number of computational methods have been proposed for identifying transcription factor binding sites from...

A number of computational methods have been proposed for identifying transcription factor binding sites from...

We propose a general and formal statistical framework for the multiple tests of associations between...

Multiple transcription factors coordinately control transcriptional regulation of genes in eukaryotes. Although multiple computational methods...

Many methods have been described to identify regulatory motifs in the transcription control regions of...

cosmo searches a set of unaligned DNA sequences for a shared motif that may, for...

cosmo searches a set of unaligned DNA sequences for a shared motif that may, for...

Identification of transcription factor binding sites (regulatory motifs) is a major interest in contemporary biology....

The ability to map individual nucleosomes accurately across genomes enables the study of relationships between...

A number of computational methods have been proposed for identifying transcription factor binding sites from...

Chromatin immunoprecipitation followed by sequencing (ChIP-Seq) has revolutionalized experiments for genome-wide profiling of DNA-binding proteins,...

We propose a general and formal statistical framework for the multiple tests of associations between...

Multiple transcription factors coordinately control transcriptional regulation of genes in eukaryotes. Although multiple computational methods...

Current statistical inference problems in genomic data analysis involve parameter estimation for high-dimensional multivariate distributions,...

Over the last two decades, non-parametric and semi-parametric approaches that adapt well known techniques such...

Recurrent events models have lately received a lot of attention in the literature. The majority...

Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d....

Over the last two decades, non-parametric and semi-parametric approaches that adapt well known techniques such...

Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d....

Recurrent events models have lately received a lot of attention in the literature. The majority...

We propose a bivariate survival function estimator for a general right censored data structure that...

Identification of transcription factor binding sites (regulatory motifs) is a major interest in contemporary biology....

The ability to map individual nucleosomes accurately across genomes enables the study of relationships between...

A number of computational methods have been proposed for identifying transcription factor binding sites from...

Chromatin immunoprecipitation followed by sequencing (ChIP-Seq) has revolutionalized experiments for genome-wide profiling of DNA-binding proteins,...

Cawley et al. (2004) have recently mapped the locations of binding sites for three transcription...

Cawley et al. (2004) have recently mapped the locations of binding sites for three transcription...

Current statistical inference problems in genomic data analysis involve parameter estimation for high-dimensional multivariate distributions,...