V. Swarup

Molecular Biology · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. Swarup trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Peter Langfelder
  2. Steve Horvath
  3. Bin Zhang

Papers from V. Swarup's perspective

Ordered by how strongly the researchers V. Swarup trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  2. Eigengene networks for studying the relationships between co-expression modules (BMC Systems Biology)
  3. Fast R Functions for Robust Correlations and Hierarchical Clustering (Journal of Statistical Software)
  4. Structuring and extracting knowledge for the support of hypothesis generation in molecular biology (BMC Bioinformatics)
  5. Gene network interconnectedness and the generalized topological overlap measure (BMC Bioinformatics)
  6. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  7. STAR: ultrafast universal RNA-seq aligner (Bioinform.)
  8. Ferroptosis: an iron-dependent form of nonapoptotic cell death. (Cell)
  9. Synchronized renal tubular cell death involves ferroptosis (Proceedings of the National Academy of Sciences of the United States of America)
  10. Patterns and rates of exonic de novo mutations in autism spectrum disorders

Their papers