iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition

By Bin Liu, Longyun Fang, Ren Long, Xun Lan, Kuo-Chen Chou. Bioinform., 2016

359 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bf875b5edc21a434c0bf4c52560db85fb2041f42

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. Xuan Xiao
2. Jianhua Jia
3. Zi Liu
4. Bingxiang Liu
5. Kuo-Chen Chou
6. Hongbin Shen
7. Hao Lin
8. Bin Liu

Citations in the corpus

• pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. (2016, methodology): “According to the 5-step rule [11] and demonstrated in a series of recent publications [15-22], to establish a really useful sequence-based statistical predictor for a biological system, we need to consider the following five procedures: (1) construct or select a valid benchmark dataset to train and ”