Michael A. Beer
Molecular Biology · 2007–2015
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 87 citations into it; #6,166 of 17,773 by trust here, #4,339 by citations
Whom Michael A. Beer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael A. Beer overall
- Anshul B Kundaje
- Avanti Shrikumar
- Eva Prakash
- Manu N. Setty
- Christina S. Leslie
- David R. Kelley
- Xiaohui S. Xie
- Daniel Quang
- Jasper Snoek
Papers from Michael A. Beer's perspective
Ordered by how strongly the researchers Michael A. Beer trusts endorse each paper. Same corpus, a different order for every researcher.
- Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities (Nature Biotechnology)
- ChIP-seq accurately predicts tissue-specific activity of enhancers (Nature)
- Potential etiologic and functional implications of genome-wide association loci for human diseases and traits (Proceedings of the National Academy of Sciences of the United States of America)
- Mismatch string kernels for discriminative protein classification
- The accessible chromatin landscape of the human genome (Nature)
- A training algorithm for optimal margin classifiers
- The Nature of Statistical Learning Theory
- High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions
- JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update (Nucleic Acids Res.)
- Landscape of transcription in human cells (Nature)
Their papers
- Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features (2014) — 497 citations
- Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis. (2007) — 2,104 citations
- A Comparative Encyclopedia of DNA Elements in the Mouse Genome (2014) — 1,618 citations
- A method to predict the impact of regulatory variants from DNA sequence (2015) — 455 citations