A
Ao Li
Researcher at University of Science and Technology of China
Publications - 133
Citations - 3300
Ao Li is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 28, co-authored 111 publications receiving 2483 citations. Previous affiliations of Ao Li include Yale University.
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PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory
TL;DR: It is proposed that PPSP could be a potentially powerful tool for the experimentalists who are focusing on phosphorylation substrates with their PK-specific sites identification and the BDT strategy could also be a ubiquitous approach for PTMs, such as sumoylation and ubiquitination, etc.
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A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data
Dongdong Sun,Minghui Wang,Ao Li +2 more
TL;DR: This study proposes a Multimodal Deep Neural Network by integrating Multi-dimensional Data (MDNNMD) for the prognosis prediction of breast cancer and shows that the proposed method achieves a better performance than the prediction methods with single-dimensional data and other existing approaches.
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LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST
TL;DR: An online web server based on this method has been developed and is freely available to both academic and commercial users, which can be accessed by at and results indicate that LOCSVMPSI is a powerful tool for the prediction of eukaryotic protein subcellular localization.
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Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme
TL;DR: Wang et al. as mentioned in this paper proposed an orthogonal coding input scheme, which makes use of multi-missing values in one row of a certain gene expression profile and imputes the missing value into a much higher dimensional space, to obtain better performance.
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Differentiated cells are more efficient than adult stem cells for cloning by somatic cell nuclear transfer.
Li-Ying Sung,Shaorong Gao,Hongmei Shen,Hui Yu,Yifang Song,Sadie L. Smith,Ching-Chien Chang,Kimiko Inoue,Lynn Kuo,Jin Lian,Ao Li,X. Cindy Tian,David Tuck,Sherman M. Weissman,Xiangzhong Yang,Tao Cheng +15 more
TL;DR: It is found that cloning efficiency increases over the differentiation hierarchy, and terminally differentiated postmitotic granulocytes yield cloned pups with the greatest cloning efficiency.