( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Performance analysis of novel methods for detecting epistasis.

, , , , , и . BMC Bioinform., (2011)

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.

Junliang Han

Junliang Wu

Li Shang

Huiping Shang

Xiaolei Shang

 

Другие публикации лиц с тем же именем

Crow Search Algorithm Based on Information Interaction for Epistasis Detection., , , , , и . BIBM, стр. 3249-3256. IEEE, (2023)A compressed sensing based two-stage method for detecting epistatic interactions., , , , и . Int. J. Data Min. Bioinform., 14 (4): 354-372 (2016)The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method., , , , , и . BMC Bioinform., 20 (1): 5 (декабря 2019)Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes., , , , , и . BIBM, стр. 1900-1905. IEEE Computer Society, (2017)Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis., , , , , и . IDMB, том 1099 из Communications in Computer and Information Science, стр. 137-151. Springer, (2019)TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease., , , , , и . ISBRA, том 13760 из Lecture Notes in Computer Science, стр. 159-168. Springer, (2022)A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes., , , и . ICIC (2), том 9772 из Lecture Notes in Computer Science, стр. 67-77. Springer, (2016)scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization., , , и . BIBM, стр. 3200-3207. IEEE, (2023)Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation., , , , , и . BIBM, стр. 2216-2223. IEEE, (2022)scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types., , , , , , и . BIBM, стр. 3343-3350. IEEE, (2022)