N. Mueller

Molecular Biology · with Eraslan · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 21 citations into it; #10,223 of 17,773 by trust here, #12,008 by citations

Whom N. Mueller trusts overall

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

1. Casey S. Greene

Who trusts N. Mueller overall

1. Valentine Svensson

Papers from N. Mueller's perspective

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

1. Bayesian approach to single-cell differential expression analysis (Nature Methods)
2. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
3. SCANPY: large-scale single-cell gene expression data analysis
4. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
5. This PDF file includes: Materials and Methods
6. Normalizing single-cell RNA sequencing data: Challenges and opportunities (Nature Methods)
7. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
8. Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
9. A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease. (Cell)
10. From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms (IEEE Transactions on Cybernetics)

Their papers

• Single-cell RNA-seq denoising using a deep count autoencoder (2018) — 996 citations