Nathan A. Ahlgren
Molecular Biology · 2002–2020
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 55 citations into it
- Ecology — 32 citations into it
Whom Nathan A. Ahlgren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Derrick E. Fouts
- Steven L. Salzberg
- Robert Tibshirani
- John D. Storey
- Elizabeth L. Mann
- Benjamin Buchfink
- Derrick E. Wood
- Ben Langmead
- Jerome H. Friedman
- Guillaume Marçais
Who trusts Nathan A. Ahlgren overall
Papers from Nathan A. Ahlgren's perspective
Ordered by how strongly the researchers Nathan A. Ahlgren trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Kraken: ultrafast metagenomic sequence classification using exact alignments (Genome Biology)
- A fast, lock-free approach for efficient parallel counting of occurrences of k-mers (Bioinform.)
- Fast gapped-read alignment with Bowtie 2
- Phymm and PhymmBL: Metagenomic Phylogenetic Classification with Interpolated Markov Models (Nature Methods)
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Trace: Tennessee Research and Creative Exchange Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification Recommended Citation Prodigal: Prokaryotic Gene Recognition and…
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
- Concrete Problems in AI Safety
Their papers
- Genome divergence in two Prochlorococcus ecotypes reflects oceanic niche differentiation (2003) — 1,167 citations
- VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data (2017) — 580 citations
- The genome of a motile marine Synechococcus (2003) — 654 citations
- Identifying viruses from metagenomic data using deep learning (2020) — 553 citations
- Copper toxicity and cyanobacteria ecology in the Sargasso Sea (2002) — 231 citations