Raphael Gottardo
Molecular Biology · 2006–2022
A researcher in the Science corpus: 11 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 190 citations into it; #8,329 of 17,773 by trust here, #2,434 by citations
- Artificial Intelligence — 28 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Genetics — 14 citations into it
- Information Systems — 5 citations into it
- Signal Processing — 5 citations into it
Whom Raphael Gottardo trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Gordon K. Smyth (in Molecular Biology)
- Anil K. Jain (in Artificial Intelligence)
- Kurt Hornik (in Artificial Intelligence)
Who trusts Raphael Gottardo
- Fabian J Theis (in Molecular Biology)
- Valentine Svensson (in Molecular Biology)
- Rahul Satija (in Molecular Biology)
- Aviv Regev (in Molecular Biology)
- Nir Yosef (in Molecular Biology)
Papers from Raphael Gottardo's perspective
Ordered by how strongly the researchers Raphael Gottardo trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Mixture models : inference and applications to clustering
- Visualizing Data using t-SNE
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Distance Metric Learning for Large Margin Nearest Neighbor Classification
- Scikit-learn: Machine Learning in Python
- Software for Computing and Annotating Genomic Ranges (PLoS Comput. Biol.)
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
Their papers
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (2015) — 2,717 citations
- Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments (2012) — 376 citations
- CRITICAL ASSESSMENT OF AUTOMATED FLOW CYTOMETRY DATA ANALYSIS TECHNIQUES (2013) — 629 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Model-based analysis of tiling-arrays for ChIP-chip (2006) — 481 citations
- Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data (2015) — 28 citations
- Spatial transcriptomics at subspot resolution with BayesSpace (2021) — 857 citations
- Orchestrating single-cell analysis with Bioconductor (2019) — 840 citations
- Multiple early factors anticipate post-acute COVID-19 sequelae (2022) — 994 citations
- Combining Mixture Components for Clustering (2010) — 368 citations
- Orchestrating high-throughput genomic analysis with Bioconductor (2015) — 3,336 citations