( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network

, , и . Mol. BioSyst., 12 (2): 520--531 (2016)
DOI: 10.1039/c5mb00615e

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.

Hua Shao

Li Shao

Hua Shao

Junyang Shao

Hui Shao

 

Другие публикации лиц с тем же именем

Resilience function uncovers the critical transitions in cancer initiation., и . Briefings Bioinform., (2021)Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test., , , , , , и . GlobalSIP, стр. 1368-1371. IEEE, (2014)m 6 Aexpress-BHM: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model., , , и . Briefings Bioinform., (2022)Prediction of protein-protein interaction types using the decision templates based on multiple classier fusion., , , и . Math. Comput. Model., 52 (11-12): 2075-2084 (2010)Landing Strategies in Honeybees, and Applications to UAVs., , , и . ISRR, том 6 из Springer Tracts in Advanced Robotics, стр. 373-384. Springer, (2001)Prediction of Protein-Protein Interaction Using Distance Frequency of Amino Acids Grouped with their Physicochemical Properties., , , и . BIC-TA, стр. 70-74. IEEE Computer Society, (2011)Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination., , , , и . ICMB, том 4901 из Lecture Notes in Computer Science, стр. 65-72. Springer, (2008)From Insects to Robots., , , , , и . ISER, том 250 из Lecture Notes in Control and Information Sciences, стр. 3-12. Springer, (1999)Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods., , и . Comput. Biol. Chem., (2019)A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes., , , и . Briefings Bioinform., (мая 2023)