Elizabeth Dorfman
Molecular Biology · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 24 citations into it
- Artificial Intelligence — 9 citations into it
Whom Elizabeth Dorfman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Elizabeth Dorfman's perspective
Ordered by how strongly the researchers Elizabeth Dorfman trusts endorse each paper. Same corpus, a different order for every researcher.
- Dropout: a simple way to prevent neural networks from overfitting
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Basic local alignment search tool.
- Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
- Rectifier Nonlinearities Improve Neural Network Acoustic Models
- BLAST+: architecture and applications
- The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis (Nucleic Acids Res.)
- Kraken: ultrafast metagenomic sequence classification using exact alignments (Genome Biology)
- Fast and accurate long-read alignment with Burrows–Wheeler transform (Bioinform.)
- Phymm and PhymmBL: Metagenomic Phylogenetic Classification with Interpolated Markov Models (Nature Methods)
Their papers
- A deep learning approach to pattern recognition for short DNA sequences (2018) — 59 citations