机构

• 上海营养与健康研究... [11]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [11]

发表日期

• 2018 [11]

学科主题

• Biochemist... [5]
• Genetics &... [4]
• Chemistry [2]
• Cell Biolo... [1]
• General & ... [1]
• Mathematic... [1]
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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 发表日期：2018    专题：上海营养与健康研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Gene expression differences among different MSI statuses in colorectal cancer 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CANCER, 2018, 卷号: 143, 期号: 7, 页码: 1731-1740 作者:  Chen, Lei;  Wang, ShaoPeng;  Cai, Yu-Dong;  Pan, Xiaoyong;  Hu, XiaoHua   |  收藏  |  浏览/下载：13/0  |  提交时间：2020/12/09 microsatellite instability  colorectal cancer  mRMR  support vector machine   Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method 期刊论文  OAI收割 JOURNAL OF CELLULAR BIOCHEMISTRY, 2018, 卷号: 119, 期号: 4, 页码: 3394-3403 作者:     |  收藏  |  浏览/下载：8/0  |  提交时间：2020/12/09 gene expression pattern  Monte-Carlo feature selection method  neural stem cell   Prediction of Protein-Peptide Interactions with a Nearest Neighbor Algorithm 期刊论文  OAI收割 CURRENT BIOINFORMATICS, 2018, 卷号: 13, 期号: 1, 页码: 14-24 作者:     |  收藏  |  浏览/下载：9/0  |  提交时间：2020/12/09 Protein-peptide interactions  maximum relevance minimum redundancy  incremental feature selection  functional domain composition  pseudo-amino acid composition   Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning Algorithms 期刊论文  OAI收割 GENES, 2018, 卷号: 9, 期号: 3, 页码: 155 作者:     |  收藏  |  浏览/下载：15/0  |  提交时间：2020/12/09 Monte Carlo feature selection  breast cancer  random forest  patient-derived tumor xenograft   Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection 期刊论文  OAI收割 GENES, 2018, 卷号: 9, 期号: 4, 页码: 208 作者:     |  收藏  |  浏览/下载：14/0  |  提交时间：2020/12/09 atrioventricular septal defect  Down syndrome  self-normalizing neural network  Monte Carlo feature selection  random forest   Prediction of Nitrated Tyrosine Residues in Protein Sequences by Extreme Learning Machine and Feature Selection Methods 期刊论文  OAI收割 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2018, 卷号: 21, 期号: 6, 页码: 393-402 作者:  Chen, Lei;  Wei, Lai;  Wang, Shaopeng;  Cai, Yu-Dong;  Zhang, Yu-Hang   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/12/09 Post-translational modification  nitrated tyrosine  extreme learning machine  minimum redundancy maximum relevance  incremental feature selection   A Computational Method for Classifying Different Human Tissues with Quantitatively Tissue-Specific Expressed Genes 期刊论文  OAI收割 GENES, 2018, 卷号: 9, 期号: 9, 页码: 449 作者:  Li, JiaRui;  Cai, Yu-Dong;  Chen, Lei;  Zhang, Yu-Hang;  Kong, XiangYin   |  收藏  |  浏览/下载：10/0  |  提交时间：2020/12/09 tissue-specific expressed genes  transcriptome  tissue classification  support vector machine  feature selection   Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms 期刊论文  OAI收割 MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT, 2018, 卷号: 10, 期号: -, 页码: 57-67 作者:  Chen, Lei;  Zhang, Yu-Hang;  Huang, Tao;  Zhang, Zhenghua;  Cai, Yu-Dong   |  收藏  |  浏览/下载：11/0  |  提交时间：2020/12/09 microRNA sponge  young noncoding RNA  co-evolution  tumorigenesis   Identification of the Gene Expression Rules That Define the Subtypes in Glioma 期刊论文  OAI收割 JOURNAL OF CLINICAL MEDICINE, 2018, 卷号: 7, 期号: 10, 页码: 350 作者:  Cai, Yu-Dong;  Zhang, Shiqi;  Zhang, Shiqi;  Zhang, Yu-Hang;  Huang, Tao   |  收藏  |  浏览/下载：25/0  |  提交时间：2020/12/09 glioma  gene expression  Monte Carlo feature selection  Johnson reducer algorithm  support vector machine   Tissue Expression Difference between mRNAs and lncRNAs 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2018, 卷号: 19, 期号: 11, 页码: 3416 作者:  Chen, Lei;  Wang, Shaopeng;  Cai, Yu-Dong;  Liu, Min;  Zhang, Yu-Hang   |  收藏  |  浏览/下载：14/0  |  提交时间：2020/12/09 mRNA  lncRNA  expression specificity  cell type  feature selection