John Molitor
Molecular Biology · 2003–2014
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 11 citations into it
- Genetics — 5 citations into it; #296 of 6,854 by trust here, #1,285 by citations
Whom John Molitor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts John Molitor overall
- MARK A. Beaumont
- Kenji Fukumizu
- Balaji Lakshminarayanan
- George Papamakarios
- Michael G. B. Blum
- Mojtaba Sadegh
- Scott Anthony Sisson
- Jasper A. Vrugt
- Gilles Louppe
- Michael U Gutmann
Papers from John Molitor's perspective
Ordered by how strongly the researchers John Molitor trusts endorse each paper. Same corpus, a different order for every researcher.
- A comprehensive methylome map of lineage commitment from hematopoietic progenitors (Nature)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- Control of developmental regulators by Polycomb in human embryonic stem cells. (Cell)
- Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility (PLoS ONE)
- DNA methylation arrays as surrogate measures of cell mixture distribution (BMC Bioinformatics)
- Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in Rheumatoid Arthritis (Nature Biotechnology)
- From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
- The history of cancer epigenetics (Nature Reviews. Cancer)
- DNA methylation profiles in monozygotic and dizygotic twins (Nature Genetics)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
Their papers
- Markov chain Monte Carlo without likelihoods (2003) — 1,366 citations
- Reference-free cell mixture adjustments in analysis of DNA methylation data (2014) — 434 citations