Michelle Goh
Genome Biology · with Ang · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Michelle Goh trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian T. Jolliffe (in Analytical Chemistry)
- Peter J. Rousseeuw (in Evaluation & Benchmarks)
Papers from Michelle Goh's perspective
Ordered by how strongly the researchers Michelle Goh trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- SCANPY: large-scale single-cell gene expression data analysis
- Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes (Cell Metabolism)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation. (Blood)
Their papers
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data (2020) — 985 citations