iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition.

By Wei Chen, Pengmian Feng, Hui Ding, Hao Lin, Kuo-Chen Chou. Analytical Biochemistry, 2015

339 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4cf3d17d8ae089874239a0b062367abf155cade9

How researchers see this paper

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

In Molecular Biology

1. Quan Zou
2. Pan Zeng
3. Yuan Zhou
4. Yan-Hui Li
5. Qinghua Cui
6. Leyi Wei
7. Ziding Zhang

Citations in the corpus

• Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA (2018, background): “In a recent study, it was also shown that m 6 A is regulated by microRNA via complementary sequence motifs (Chen et al. 2015a), which suggested that sequence signaling is very important for m 6 A sites.”
• SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features (2016, methodology): “have proposed two yeast m6A site predictors: m6Apred (20) and iRNA-Methyl (21).”