Peter Langfelder
Molecular Biology · 2007–2012
A researcher in the Science corpus: 10 papers; trusts 42 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 128 citations into it; #1,305 of 17,773 by trust here, #3,275 by citations
- Genetics — 20 citations into it; #1,775 of 6,854 by trust here, #4,743 by citations
- Artificial Intelligence — 16 citations into it; #19,091 of 35,345 by trust here, #12,761 by citations
- Statistics and Probability — 14 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Atomic and Molecular Physics, and Optics — 6 citations into it
Whom Peter Langfelder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steve Horvath
- Bin Zhang
- Sandrine Dudoit
- Andy M. Yip
- E. Ravasz
- Robert Gentleman
- David Ruppert
- Robert Tibshirani
- Eric R. Ziegel
- Michael C. Oldham
Who trusts Peter Langfelder overall
- Steve Horvath
- Lin Song
- Neelroop Parikshak
- Johanna S. Hardin
- Jeremy A. Miller
- Steven X. Ge
- Sipko van Dam
- Jizhong Zhou
- Dominique Makowski
- B. Misra
Papers from Peter Langfelder's perspective
Ordered by how strongly the researchers Peter Langfelder trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical Organization of Modularity in Metabolic Networks (Science)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae (Nature Genetics)
- The Elements of Statistical Learning
- Identifying biological themes within lists of genes with EASE (Genome Biology)
- DAVID: Database for Annotation, Visualization, and Integrated Discovery (Genome Biology)
- Error and attack tolerance of complex networks
- KEGG: Kyoto Encyclopedia of Genes and Genomes (Nucleic Acids Res.)
- A prediction-based resampling method for estimating the number of clusters in a dataset (Genome Biology)
- Genomic expression programs in the response of yeast cells to environmental changes. (Molecular Biology of the Cell)
Their papers
- Functional organization of the transcriptome in human brain (2008) — 761 citations
- Is My Network Module Preserved and Reproducible? (2011) — 956 citations
- Eigengene networks for studying the relationships between co-expression modules (2007) — 838 citations
- WGCNA: an R package for weighted correlation network analysis (2008) — 861 citations
- Strategies for aggregating gene expression data: The collapseRows R function (2011) — 317 citations
- Fast R Functions for Robust Correlations and Hierarchical Clustering (2012) — 1,185 citations
- Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R (2008) — 1,920 citations
- Aging effects on DNA methylation modules in human brain and blood tissue (2012) — 625 citations
- Weighted Gene Coexpression Network Analysis: State of the Art (2010) — 370 citations
- Comparison of co-expression measures: mutual information, correlation, and model based indices (2012) — 456 citations