Multi-Layer and Recursive Neural Networks for Metagenomic Classification

By Gregory Ditzler, Robi Polikar, Gail L. Rosen. 2015

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Brett K. Beaulieu-Jones
2. Yifan Peng
3. Anshul B Kundaje
4. Avanti Shrikumar
5. Casey S. Greene
6. Amr M. Alexandari
7. Zhiyong Lu
8. S. Joshua Swamidass

In Molecular Biology

1. Casey S. Greene
2. Yifan Peng
3. Brett K. Beaulieu-Jones
4. G. Way
5. Amr M. Alexandari
6. Zhiyong Lu
7. Avanti Shrikumar
8. S. Joshua Swamidass

Citations in the corpus

• Opportunities and obstacles for deep learning in biology and medicine (2017, methodology): “However, because RNNs have been applied to base calls for the Oxford Nanopore long-read sequencer with some success [255] (discussed further in the next section), one day the entire pipeline, from denoising of through functional classification, may be combined into one step by using powerful LSTMs [”