Standout Papers

Deep learning for computational biology 2011 2026 2016 2021 862
  1. Deep learning for computational biology (2016)
    Christof Angermueller, Tanel Pärnamaa et al. Molecular Systems Biology
  2. Computational and analytical challenges in single-cell transcriptomics (2015)
    Oliver Stegle, Sarah A. Teichmann et al. Nature Reviews Genetics
  3. Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity (2014)
    Sébastien A. Smallwood, Heather Lee et al. Nature Methods
  4. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (2015)
    Florian Buettner, Kedar Nath Natarajan et al. Nature Biotechnology
  5. Whole-genome sequencing of multiple Arabidopsis thaliana populations (2011)
    Jun Cao, Korbinian Schneeberger et al. Nature Genetics
  6. Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets (2018)
    Ricard Argelaguet, Britta Velten et al. Molecular Systems Biology
  7. Spontaneous epigenetic variation in the Arabidopsis thaliana methylome (2011)
    Claude Becker, Jörg Hagmann et al. Nature
  8. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity (2016)
    Christof Angermueller, Stephen J. Clark et al. Nature Methods
  9. Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses (2012)
    Oliver Stegle, Leopold Parts et al. Nature Protocols
  10. Cell2location maps fine-grained cell types in spatial transcriptomics (2022)
    Vitalii Kleshchevnikov, Artem Shmatko et al. Nature Biotechnology
  11. scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells (2018)
    Stephen J. Clark, Ricard Argelaguet et al. Nature Communications
  12. MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data (2020)
    Ricard Argelaguet, Damien Arnol et al. Genome biology
  13. DNA methylation in Arabidopsis has a genetic basis and shows evidence of local adaptation (2015)
    Manu Dubin, Pei Zhang et al. eLife
  14. Computational principles and challenges in single-cell data integration (2021)
    Ricard Argelaguet, Anna Cuomo et al. Nature Biotechnology

Immediate Impact

54 from Science/Nature 121 standout
Sub-graph 1 of 13

Citing Papers

A comprehensive spatio-cellular map of the human hypothalamus
2025 StandoutNature
Adipose tissue retains an epigenetic memory of obesity after weight loss
2024 StandoutNature
5 intermediate papers

Works of Oliver Stegle being referenced

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
2020 Standout
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
2018 Standout
and 6 more

Author Peers

Author Last Decade Papers Cites
Oliver Stegle 10019 2631 1900 120 13.9k
Alvis Brāzma 10437 1568 1343 124 13.9k
Sandrine Dudoit 10763 1550 2119 98 16.3k
Amos Tanay 11410 1657 1542 92 13.8k
Jeffrey T. Leek 9737 2491 2418 80 15.5k
Vishwanath R. Iyer 15107 1824 1190 89 18.7k
Michael Q. Zhang 17465 2296 2847 214 20.6k
Lars M. Steinmetz 17843 2649 2084 217 21.9k
John C. Marioni 17526 2929 4483 144 22.4k
Xiaohui Xie 13735 2337 2468 165 21.0k
Edward M. Marcotte 18042 3168 971 229 22.6k

All Works

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2026