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Cancer Genetics|January 10, 2026
Identifying transcriptional signatures of leukocytes in tissue and blood for multicancer diagnosis by using machine learning methodsQingLan Ma, JingXin Ren, Lei Chen, et al.
Frontiers in Genetics|March 21, 2022
Exploring the Genomic Patterns in Human and Mouse Cerebellums Via Single-Cell Sequencing and Machine Learning MethodZhanDong Li, Deling Wang, HuiPing Liao, et al.
Protein and Peptide Letters|October 25, 2016
OPMSP: A Computational Method Integrating Protein Interaction and Sequence Information for the Identification of Novel Putative OncogenesLei Chen, Baoman Wang, ShaoPeng Wang, et al.
Vaccine|August 25, 2024
Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approachJingXin Ren, Qian Gao, XianChao Zhou, et al.
Genes|April 13, 2018
Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature SelectionXiaoyong Pan, Xiaohua Hu, Yu Hang Zhang, et al.
Current Gene Therapy|July 17, 2025
Identification of Key Features Pivotal to the Characteristics and Functions of Gut Bacteria Taxa through Machine Learning MethodsZhanDong Li, QingLan Ma, Hao Li, et al.
Frontiers in Cell and Developmental Biology|December 17, 2021
Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell LinesShiJian Ding, Hao Li, Yu-Hang Zhang, et al.
Protein and Peptide Letters|May 18, 2012
A sequence-based approach for predicting protein disordered regionsTao Huang, Zhi-Song He, Wei-Ren Cui, et al.
Protein and Peptide Letters|May 18, 2012
Inter- and intra-chain disulfide bond prediction based on optimal feature selectionShen Niu, Tao Huang, Kai-Yan Feng, et al.
Peptides|October 29, 2008
GalNAc-transferase specificity prediction based on feature selection methodLin Lu, Bing Niu, Jun Zhao, et al.
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