Broad-Enrich: functional interpretation of large sets of broad genomic regions

Broad-Enrich: functional interpretation of large sets of broad genomic regions

MOTIVATION Functional enrichment testing facilitates the interpretation of Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) data in terms of pathways and other biological contexts. Previous methods developed and used to test for key gene sets affected in ChIP-seq experiments treat peaks as points, and are based on the number of peaks associated with a gene or a bi...

Laparoscopic Management of Strangulated Broad Ligament Hernia

Introduction: Broad ligament hernia was first reported post-autopsy by Quain in 1861. In a 1995 review article, only 61 cases had ever been reported. This paper presents a case report of broad ligament hernia and explores the literature surrounding this topic. Case Presentation: The patient presented with no significant past medical history, acute lower a...

Broad asting in Partially Ordered Sets

Broad Mind - Sets to Broad Baskets : The Effect of Manipulating Category Width on Consumer Decision Making

their helpful comments on earlier versions of the manuscript. 3 Changes in consumers' category width (the level of coarseness-fineness with which people categorize objects) alter their decision making processes, which in turn alter their categorizing and purchasing behavior. Participants manipulated to be broad categorizers base their decisions on fewer, highly salient dimensions. In contrast, ...

Functional Genomic mRNA Profiling of a large cancer data base demonstrates mesothelin overexpression in a broad range of tumor types

The membrane bound glycoprotein mesothelin (MSLN) is a highly specific tumor marker, which is currently exploited as target for drugs. There are only limited data available on MSLN expression by human tumors. Therefore we determined overexpression of MSLN across different tumor types with Functional Genomic mRNA (FGM) profiling of a large cancer database. Results were compared with data in arti...