Jennifer M. Taylor

Molecular Biology · 2007–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 36 citations into it
• Plant Science — 36 citations into it

Whom Jennifer M. Taylor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. James O. Berger
2. Lawrence R. Rabiner

Papers from Jennifer M. Taylor's perspective

Ordered by how strongly the researchers Jennifer M. Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

1. A tutorial on hidden Markov models and selected applications in speech recognition
2. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.
3. The case for objective Bayesian analysis
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Intrinsically disordered protein.
6. Improved prediction of signal peptides: SignalP 3.0. (Journal of Molecular Biology)
7. Surface and inside volumes in globular proteins
8. Idiot's Bayes—Not So Stupid After All?
9. Pfam: the protein families database
10. Crop yields and global food security: will yield increase continue to feed the world?

Their papers

• QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data (2007) — 662 citations
• EffectorP: predicting fungal effector proteins from secretomes using machine learning. (2016) — 359 citations
• Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0 (2018) — 314 citations