lncLocPred: Predicting LncRNA Subcellular Localization Using Multiple Sequence Feature Information

Yongxian Fan(Guilin University of Electronic Technology), Qingqi Zhu(Guilin University of Electronic Technology), Meijun Chen(Guilin University of Electronic Technology)
IEEE Access
January 1, 2020
10.1109/access.2020.3007317
Cited by 33

Related Papers

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
|BMC Genomics|2016|173
Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks
|Neurocomputing|2016|127
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images
|Multimedia Tools and Applications|2018|88
GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field
|Briefings in Bioinformatics|2021|60
Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features
|BMC Bioinformatics|2012|48