Efthymia Papalexi
Molecular Biology · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 159 citations into it; #5,146 of 17,773 by trust here, #1,467 by citations
- Artificial Intelligence — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Efthymia Papalexi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Efthymia Papalexi overall
Papers from Efthymia Papalexi's perspective
Ordered by how strongly the researchers Efthymia Papalexi trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Spatial reconstruction of single-cell gene expression
- Adult Mouse Cortical Cell Taxonomy by Single Cell Transcriptomics
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
- Diffusion pseudotime robustly reconstructs lineage branching
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
Their papers
- Comprehensive integration of single-cell data (2018) — 13,024 citations
- Integrating single-cell transcriptomic data across different conditions, technologies, and species (2018) — 10,784 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Single-cell RNA sequencing to explore immune cell heterogeneity (2017) — 1,556 citations