Lukas M. Simon
Molecular Biology · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 99 citations into it; #7,913 of 17,773 by trust here, #5,227 by citations
- Statistical and Nonlinear Physics — 8 citations into it
- Computational Biology & Bioinformatics — 7 citations into it
- Graph Learning — 5 citations into it
Whom Lukas M. Simon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lukas M. Simon overall
- Valentine Svensson
- Romain Lopez
- Malte D. Luecken
- Christoph Hafemeister
- Fabian J Theis
- Giovanni Palla
- Tian Tian
Papers from Lukas M. Simon's perspective
Ordered by how strongly the researchers Lukas M. Simon trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- This PDF file includes: Materials and Methods
- Spatial reconstruction of single-cell gene expression
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
- Fast unfolding of communities in large networks
- Revealing the vectors of cellular identity with single-cell genomics (Nature Biotechnology)
- SCANPY: large-scale single-cell gene expression data analysis
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- Single-cell mRNA quantification and differential analysis with Census (Nature Methods)
Their papers
- Single-cell RNA-seq denoising using a deep count autoencoder (2018) — 996 citations
- PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells (2019) — 1,506 citations
- Graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells (2017) — 230 citations
- Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis (2020) — 598 citations
- A cellular census of human lungs identifies novel cell states in health and in asthma (2019) — 755 citations