Sven Bergmann
Molecular Biology · 2002–2021
A researcher in the Science corpus: 22 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 287 citations into it; #6,696 of 17,773 by trust here, #3,044 by citations
Whom Sven Bergmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jan Ihmels
- Yizong Cheng
- George M. Church
- Patrick O. Brown
- Gad Getz
- Audrey P. Gasch
- David Botstein
- Timothy R. Hughes
- Gavin Sherlock
- Naama Barkai
Who trusts Sven Bergmann overall
Papers from Sven Bergmann's perspective
Ordered by how strongly the researchers Sven Bergmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Functional discovery via a compendium of expression profiles. (Cell)
- Regulatory element detection using correlation with expression (Nature Genetics)
- Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
- YPDTM, PombePDTM and WormPDTM: model organism volumes of the BioKnowledgeTM Library, an integrated resource for protein information (Nucleic Acids Res.)
- Revealing modular organization in the yeast transcriptional network (Nature Genetics)
- A Gene Expression Map for Caenorhabditis elegans (Science)
- The Stanford Microarray Database (Nucleic Acids Res.)
- Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae. (Journal of Molecular Biology)
- Biclustering of Expression Data (Intelligent Systems in Molecular Biology)
- Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- The evolution of gene expression levels in mammalian organs (2011) — 1,209 citations
- Revealing modular organization in the yeast transcriptional network (2002) — 771 citations
- Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases (2018) — 30 citations
- Assessment of network module identification across complex diseases (2019) — 268 citations
- Similarities and Differences in Genome-Wide Expression Data of Six Organisms (2003) — 392 citations
- Defining transcription modules using large-scale gene expression data (2004) — 376 citations
- Iterative signature algorithm for the analysis of large-scale gene expression data. (2002) — 482 citations
- Genome-wide association analysis identifies 20 loci that influence adult height (2008) — 819 citations
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (2018) — 511 citations
- Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases (2016) — 303 citations
- Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics (2016) — 322 citations
- Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021) — 1,862 citations
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (2019) — 744 citations
- Genetic evidence of assortative mating in humans (2017) — 288 citations
- Genome-wide analysis identifies 12 loci influencing human reproductive behavior (2016) — 129 citations
- Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses (2016) — 986 citations
- Defining the role of common variation in the genomic and biological architecture of adult human height (2014)
- Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution (2010) — 973 citations
- Genetic variation in IL28B is associated with chronic hepatitis C and treatment failure: a genome-wide association study. (2010) — 1,230 citations
- Faculty Opinions recommendation of Genome-wide association study identifies eight loci associated with blood pressure. (2009) — 1,206 citations