Lin Lu

发表

Predicting subcellular location of proteins using integrated-algorithm method

Yu-Dong Cai, Lei Chen, Lin Lu, 2010, Molecular Diversity.

Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.

Q. Zou, Lin Lu, Fei Yuan, 2020, Biochimica et biophysica acta. Molecular basis of disease.

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Lei Chen, Tao Huang, Yu-Dong Cai, 2019, Cancer Gene Therapy.

Computational Method for the Identification of Molecular Metabolites Involved in Cereal Hull Color Variations.

Yu-Hang Zhang, Jiarui Li, Yunhua Zhang, 2019, Combinatorial chemistry & high throughput screening.

A novel computational approach to predict transcription factor DNA binding preference.

Lin Lu, Jianfeng He, Wencong Lu, 2009, Journal of proteome research.

Mining for novel tumor suppressor genes using a shortest path approach

Yu-Dong Cai, Xiangyin Kong, Tao Huang, 2016, Journal of biomolecular structure & dynamics.

Prediction of interaction between small molecule and enzyme using AdaBoost

Lin Lu, Bing Niu, Wencong Lu, 2009, Molecular Diversity.

Prediction of mucin-type O-glycosylation sites by a two-staged strategy

Yudong Cai, Lin Lu, Jianfeng He, 2011, Molecular Diversity.

Identification of cortical interneuron cell markers in mouse embryos based on machine learning analysis of single-cell transcriptomics

Tao Huang, Lei Chen, Yu-Hang Zhang, 2022, Frontiers in neuroscience.

Predicting miRNA’s target from primary structure by the nearest neighbor algorithm

Zhenbing Zeng, Lin Lu, Haipeng Li, 2010, Molecular Diversity.

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Xiangyin Kong, Tao Huang, Lei Chen, 2019, Cancer Gene Therapy.

Identification of synthetic lethality based on a functional network by using machine learning algorithms

Lin Lu, Min Liu, Lei Chen, 2018, Journal of cellular biochemistry.

Predicting Citrullination Sites in Protein Sequences Using mRMR Method and Random Forest Algorithm.

Lin Lu, Yu-Dong Cai, Yu-Hang Zhang, 2017, Combinatorial chemistry & high throughput screening.

Gene finding by integrating gene finders

Bing Li, Yu-Dong Cai, Lin Lu, 2010 .

Analysis of the Sequence Characteristics of Antifreeze Protein

Tao Zeng, Yu-Dong Cai, Tao Huang, 2021, Life.

Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method.

Lin Lu, Yu-Dong Cai, Fei Yuan, 2018, Mathematical biosciences.

Predicting protein subcellular location with network embedding and enrichment features.

Lin Lu, Xiaoyong Pan, Yu-Dong Cai, 2020, Biochimica et biophysica acta. Proteins and proteomics.

Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods

Tao Huang, Yudong Cai, Kaiyan Feng, 2022, Biology.

Predicting the protein SUMO modification sites based on Properties Sequential Forward Selection (PSFS).

Yinglin Wang, Yixue Li, Lin Lu, 2007, Biochemical and biophysical research communications.

Prediction of compounds’ biological function (metabolic pathways) based on functional group composition

Lin Lu, Bing Niu, Yu-Dong Cai, 2008, Molecular Diversity.

Predicting Sumoylation Site by Feature Selection Method

Lin Lu, Yudong Cai, Lin Lu, 2011, Journal of biomolecular structure & dynamics.

Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm

Yuchao Zhang, Yu-Dong Cai, Jun Zhao, 2014, BioMed research international.

Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes

Lei Chen, Kai-Yan Feng, Lin Lu, 2023, Biology.

Identification of protein functions in mouse with a label space partition method.

Lei Chen, Lin Lu, Xuan Li, 2022, Mathematical biosciences and engineering : MBE.

GalNAc-transferase specificity prediction based on feature selection method

Lin Lu, Bing Niu, Yu-Dong Cai, 2009, Peptides.