José Alquicira-Hernández

Statistics and Probability · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom José Alquicira-Hernández trusts overall

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

1. Tarn Duong
2. Luís Torgo
3. Dominic Grün
4. Vladimir Yu. Kiselev
5. Yuqi Tan
6. Cole Trapnell
7. Rahul Satija

Papers from José Alquicira-Hernández's perspective

Ordered by how strongly the researchers José Alquicira-Hernández 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. Single-cell messenger RNA sequencing reveals rare intestinal cell types (Nature)
4. CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq (Genome Biology)
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. Data Mining with R: Learning with Case Studies
8. An introduction to statistical learning with applications in R
9. SingleCellNet: a computational tool to classify single cell RNA-Seq data across platforms and across species (bioRxiv)
10. ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

Their papers

• Benchmarking of cell type deconvolution pipelines for transcriptomics data (2020) — 369 citations
• scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data (2019) — 401 citations
• Nebulosa recovers single cell gene expression signals by kernel density estimation (2020) — 312 citations