Author of the publication

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning.

, , , , , and . Briefings Bioinform., 21 (1): 11-23 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites., , , , , and . Briefings Bioinform., (2021)Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design., , , and . J. Chem. Inf. Model., 64 (1): 316-326 (January 2024)mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation., , , , and . Bioinform., 35 (16): 2757-2765 (2019)Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information., , , , , , , , , and 2 other author(s). MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 85-94. Springer, (2023)Encoded Texture Features to Characterize Bone Radiograph Images., , , , , and . ICPR, page 3856-3861. IEEE Computer Society, (2018)Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information., , and . Inf. Sci., (2017)Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics., and . Frontiers Bioinform., (2022)Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation., , , , and . IEEE Access, (2019)Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism., , , and . Bioinform., 36 (4): 1037-1043 (2020)CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning., , , , , and . Briefings Bioinform., 21 (1): 11-23 (2020)