ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
出版年份 2020 全文链接
标题
ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
作者
关键词
-
出版物
BMC BIOINFORMATICS
Volume 21, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-02-05
DOI
10.1186/s12859-020-3388-y
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm
- (2019) Yanjuan Li et al. JOURNAL OF PROTEOME RESEARCH
- LncRNA PAPAS promotes hepatocellular carcinoma by interacting with miR‐188‐5p
- (2019) Jincai Ma et al. JOURNAL OF CELLULAR BIOCHEMISTRY
- Incorporating Distance-based Top-n-gram and Random Forest to Identify Electron Transport Proteins
- (2019) Xiaoqing Ru et al. JOURNAL OF PROTEOME RESEARCH
- JCD-DEA: a joint covariate detection tool for differential expression analysis on tumor expression profiles
- (2019) Yi Li et al. BMC BIOINFORMATICS
- NCAPG2 overexpression promotes hepatocellular carcinoma proliferation and metastasis through activating the STAT3 and NF-κB/miR-188-3p pathways
- (2019) Fanzheng Meng et al. EBioMedicine
- BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches
- (2019) Bin Liu et al. NUCLEIC ACIDS RESEARCH
- iProEP: A Computational Predictor for Predicting Promoter
- (2019) Hong-Yan Lai et al. Molecular Therapy-Nucleic Acids
- A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features
- (2019) Zhibin Lv et al. Frontiers in Bioengineering and Biotechnology
- MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
- (2019) Chen-Chen Li et al. BRIEFINGS IN BIOINFORMATICS
- DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
- (2019) Bin Liu et al. BRIEFINGS IN BIOINFORMATICS
- Fold-LTR-TCP: protein fold recognition based on triadic closure principle
- (2019) Bin Liu et al. BRIEFINGS IN BIOINFORMATICS
- The “Gene Cube”: A Novel Approach to Three-dimensional Clustering of Gene Expression Data
- (2019) George I. Lambrou et al. Current Bioinformatics
- O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique
- (2018) Cangzhi Jia et al. BIOINFORMATICS
- Predicting protein structural classes for low-similarity sequences by evaluating different features
- (2018) Xiao-Juan Zhu et al. KNOWLEDGE-BASED SYSTEMS
- Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
- (2018) Quan Zou et al. RNA
- Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
- (2017) Michiru Nishita et al. Scientific Reports
- PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection
- (2017) Jiangning Song et al. Scientific Reports
- Optimal combination of feature selection and classification via local hyperplane based learning strategy
- (2015) Xiaoping Cheng et al. BMC BIOINFORMATICS
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Feature weight estimation for gene selection: a local hyperlinear learning approach
- (2014) Hongmin Cai et al. BMC BIOINFORMATICS
- TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle Prediction from Primary Sequences
- (2012) Jiangning Song et al. PLoS One
- microRNA-122 as a regulator of mitochondrial metabolic gene network in hepatocellular carcinoma
- (2010) Julja Burchard et al. Molecular Systems Biology
- BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES
- (2010) JIANGNING SONG et al. Journal of Bioinformatics and Computational Biology
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