Niko Beerenwinkel
Molecular Biology · 2005–2020
A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 172 citations into it
- Cancer Research — 98 citations into it
- Genetics — 49 citations into it
- Oncology — 39 citations into it
- Artificial Intelligence — 32 citations into it; #13,483 of 35,345 by trust here, #8,365 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Statistics and Probability — 8 citations into it
Whom Niko Beerenwinkel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amaury Lambert
- Prateek Kumar
- Su-Chan Park
- Lawrence Loeb
- Thomas A. Kunkel
- Juliane Schäfer
- Paul Marjoram
- Martin A. Nowak
- Michael R. Stratton
- M. Lawrence
Who trusts Niko Beerenwinkel overall
- Su-Chan Park
- Jason Schweinsberg
- F. Nahm
- John Muschelli
- S. Veloz
- Elizabeth A. Freeman
- Paul J. McMurdie
- Christian Thiele
- Nils B. Weidmann
Papers from Niko Beerenwinkel's perspective
Ordered by how strongly the researchers Niko Beerenwinkel trusts endorse each paper. Same corpus, a different order for every researcher.
- Tumour evolution inferred by single-cell sequencing (Nature)
- Absolute quantification of somatic DNA alterations in human cancer (Nature Biotechnology)
- A method and server for predicting damaging missense mutations
- Discovery and saturation analysis of cancer genes across 21 tumor types (Nature)
- Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
- The hallmarks of cancer (RNA Biology)
- Allele-specific copy number analysis of tumors (Proceedings of the National Academy of Sciences of the United States of America)
- Clonal evolution in relapsed acute myeloid leukemia revealed by whole genome sequencing (Nature)
- Mutational heterogeneity in cancer and the search for new cancer genes (Nature)
- The causes and consequences of genetic heterogeneity in cancer evolution (Nature)
Their papers
- Eleven grand challenges in single-cell data science (2020) — 1,198 citations
- Neutrophils escort circulating tumour cells to enable cell cycle progression (2019) — 1,066 citations
- From hype to reality: data science enabling personalized medicine (2018) — 359 citations
- Tree inference for single-cell data (2016) — 301 citations
- Cancer Evolution: Mathematical Models and Computational Inference (2014) — 351 citations
- Comparative lesion sequencing provides insights into tumor evolution (2008) — 829 citations
- Genetic Progression and the Waiting Time to Cancer (2007) — 421 citations
- Improved Prediction of Response to Antiretroviral Combination Therapy using the Genetic Barrier to Drug Resistance (2006) — 63 citations
- ROCR: visualizing classifier performance in R (2005) — 3,113 citations