Mohamed Mounir

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Mounir trusts overall

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

  1. Davis J. McCarthy
  2. Gordon K. Smyth
  3. Mark D. Robinson
  4. Charity W. Law
  5. W. Johnson
  6. D. Aran
  7. Yunshun Chen
  8. Matthew E. Ritchie
  9. Scott L. Carter

Papers from Mohamed Mounir's perspective

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

  1. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  2. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
  3. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  4. The Immune Landscape of Cancer (Immunity)
  5. limma powers differential expression analyses for RNA-sequencing and microarray studies
  6. Absolute quantification of somatic DNA alterations in human cancer (Nature Biotechnology)
  7. Orchestrating high-throughput genomic analysis with Bioconductor (Nature Methods)
  8. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses (Nucleic Acids Res.)
  9. Systematic pan-cancer analysis of tumour purity (Nature Communications)
  10. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation (Cell)

Their papers