Maria-Madalina Mircea

Molecular Biology · 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; #10,222 of 17,773 by trust here, #12,008 by citations

Whom Maria-Madalina Mircea trusts overall

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

1. Casey S. Greene

Who trusts Maria-Madalina Mircea overall

1. Valentine Svensson
2. Romain Lopez

Papers from Maria-Madalina Mircea's perspective

Ordered by how strongly the researchers Maria-Madalina Mircea 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. This PDF file includes: Materials and Methods
5. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
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