Anuja Sathe

Genome Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Anuja Sathe trusts overall

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

1. Luís Torgo
2. Dominic Grün

Papers from Anuja Sathe's perspective

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

1. The Human Cell Atlas
2. Defining cell types and states with single-cell genomics
3. CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq (Genome Biology)
4. Single-cell messenger RNA sequencing reveals rare intestinal cell types (Nature)
5. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes and progenitors (Science)
6. SC3 - consensus clustering of single-cell RNA-Seq data (Nature Methods)
7. Massively parallel digital transcriptional profiling of single cells
8. Data Mining with R: Learning with Case Studies
9. An introduction to statistical learning with applications in R
10. SingleCellNet: a computational tool to classify single cell RNA-Seq data across platforms and across species (bioRxiv)

Their papers

• scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data (2019) — 401 citations