Peng Qiu
Molecular Biology · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 69 citations into it
- Artificial Intelligence — 7 citations into it
- Statistics and Probability — 5 citations into it
Whom Peng Qiu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Angelo Duò
- Mark D. Robinson
- M. Guha
- Seth Pettie
- Charlotte Soneson
- Eric R. Ziegel
- Sean Bendall
- Rahul Satija
- N. Mackman
- V. Ramachandran
Who trusts Peng Qiu overall
- Tiffany J. Chen
- S. van Gassen
- Zhicheng Ji
- Yvan Saeys
- Karthik Shekhar
- Laleh Haghverdi
- Michael Thomas Wong
- A. Chaudhry
- Hao Chen
- Sean Bendall
Papers from Peng Qiu's perspective
Ordered by how strongly the researchers Peng Qiu trusts endorse each paper. Same corpus, a different order for every researcher.
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE (Nature Biotechnology)
- Deep Learning
- A global geometric framework for nonlinear dimensionality reduction.
- An optimal minimum spanning tree algorithm (JACM)
- LPS induction of gene expression in human monocytes. (Cellular Signalling)
- A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
- Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning (Proceedings of the National Academy of Sciences of the United States of America)
- Annotated high-throughput microscopy image sets for validation
Their papers
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum (2011) — 2,263 citations
- Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE (2011) — 957 citations
- Data-analysis strategies for image-based cell profiling (2017) — 696 citations
- TCGA-Assembler: An Open-Source Pipeline for TCGA Data Downloading, Assembling, and Processing (2014) — 366 citations
- Embracing the dropouts in single-cell RNA-seq analysis (2020) — 341 citations