Vision and Relevant Risk Factor Interventions for Preventing Falls among Older People: A Network Meta-analysis

по Zhang, Xin-Yi, Shuai, Jian, Li, Li-Ping
Опубликовано в: Sci Rep (2015)

Calculation Method for Non-orthogonal Water-Blocking Ratio in Curved River Cross-Sections

по ZUO Jian, LI Li-ping, BU Hui, ZHU Di
Опубликовано 2025-10-01

One-Step Electrochemical Preparation of Super-Hydrophobic Aluminum Surface and the Anti-Corrosion Performance

по LI Li-ping, ZHOU Ji-cheng, LIU Yuan-wei, CHEN Yu
Опубликовано 2021-06-01

Drug-Target Interaction Prediction Based on Drug Fingerprint Information and Protein Sequence

по Li, Yang, Huang, Yu-An, You, Zhu-Hong, Li, Li-Ping, Wang, Zheng
Опубликовано в: Molecules (2019)

Incorporating chemical sub-structures and protein evolutionary information for inferring drug-target interactions

по Wang, Lei, You, Zhu-Hong, Li, Li-Ping, Yan, Xin, Zhang, Wei
Опубликовано в: Sci Rep (2020)

PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation

по Li, Li-Ping, Wang, Yan-Bin, You, Zhu-Hong, Li, Yang, An, Ji-Yong
Опубликовано в: Int J Mol Sci (2018)

The impact of parental migration on health status and health behaviours among left behind adolescent school children in China

по Gao, Yang, Li, Li Ping, Kim, Jean Hee, Congdon, Nathan, Lau, Joseph, Griffiths, Sian
Опубликовано 2010

Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM

по Wang, Yan-Bin, You, Zhu-Hong, Li, Li-Ping, Huang, Yu-An, Yi, Hai-Cheng
Опубликовано в: Molecules (2017)

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information

по Zhan, Zhao-Hui, You, Zhu-Hong, Li, Li-Ping, Zhou, Yong, Yi, Hai-Cheng
Опубликовано в: Front Genet (2018)

BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information

по Zhan, Zhao-Hui, Jia, Li-Na, Zhou, Yong, Li, Li-Ping, Yi, Hai-Cheng
Опубликовано в: Int J Mol Sci (2019)

A Special Electroencephalography Pattern Might Help in the Diagnosis of Antibody-positive Encephalitis

по Mei, Li-Ping, Li, Li-Ping, Ye, Jing, Wang, Yu-Ping, Zhao, Jun, Zhang, Tong
Опубликовано в: Chin Med J (Engl) (2015)

An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

по Chen, Zhan-Heng, Li, Li-Ping, He, Zhou, Zhou, Ji-Ren, Li, Yangming, Wong, Leon
Опубликовано в: Front Genet (2019)

An Ensemble Classifier to Predict Protein–Protein Interactions by Combining PSSM-based Evolutionary Information with Local Binary Pattern Model

по Li, Yang, Li, Li-Ping, Wang, Lei, Yu, Chang-Qing, Wang, Zheng, You, Zhu-Hong
Опубликовано в: Int J Mol Sci (2019)

MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources

по Zheng, Kai, You, Zhu-Hong, Wang, Lei, Zhou, Yong, Li, Li-Ping, Li, Zheng-Wei
Опубликовано в: J Transl Med (2019)

DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations

по Zheng, Kai, You, Zhu-Hong, Wang, Lei, Zhou, Yong, Li, Li-Ping, Li, Zheng-Wei
Опубликовано в: Mol Ther Nucleic Acids (2019)

Using Random Forest Model Combined With Gabor Feature to Predict Protein-Protein Interaction From Protein Sequence

по Zhan, Xin-Ke, You, Zhu-Hong, Li, Li-Ping, Li, Yang, Wang, Zheng, Pan, Jie
Опубликовано в: Evol Bioinform Online (2020)

Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model

по Ji, Bo-Ya, You, Zhu-Hong, Cheng, Li, Zhou, Ji-Ren, Alghazzawi, Daniyal, Li, Li-Ping
Опубликовано в: Sci Rep (2020)

Risk factors of bicycle traffic injury among middle school students in chaoshan rural areas of china

по Lin, Zhen-bin, Ji, Yan-hu, Xiao, Qing-yu, Luo, Li-bo, Li, Li-ping, Choi, Bernard
Опубликовано в: Int J Equity Health (2017)

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information

по Yi, Hai-Cheng, You, Zhu-Hong, Huang, De-Shuang, Li, Xiao, Jiang, Tong-Hai, Li, Li-Ping
Опубликовано в: Mol Ther Nucleic Acids (2018)

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles

по Wang, Yan-Bin, You, Zhu-Hong, Li, Li-Ping, Huang, De-Shuang, Zhou, Feng-Feng, Yang, Shan
Опубликовано в: Int J Biol Sci (2018)