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Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis
Journal article
Changliang Wang, Liang Chen, Yang Yang, Menglei Zhang, Garry Wong. Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis[J]. CLINICAL EPIGENETICS, 2019, 11.
Authors:
Changliang Wang
;
Liang Chen
;
Yang Yang
;
Menglei Zhang
;
Garry Wong
Favorite
|
TC[WOS]:
45
TC[Scopus]:
48
|
Submit date:2020/05/11
Parkinson's Disease
Data Integration
Dna Methylation
Gene Expression
Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data
Journal article
Sankhadeep Chatterjee, Nilanjan Dey, Fuqian Shi, Amira S. Ashour, Simon James Fong, Soumya Sen. Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data[J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2017, 56(4), 709-720.
Authors:
Sankhadeep Chatterjee
;
Nilanjan Dey
;
Fuqian Shi
;
Amira S. Ashour
;
Simon James Fong
; et al.
Favorite
|
TC[WOS]:
26
TC[Scopus]:
31
IF:
2.6
/
2.7
|
Submit date:2018/10/30
Dengue Fever
Bag-of-features
Modified Cuckoo Search
Artificial Neural Networks
Gene Expression Data
Incremental Feature Selection Scheme
Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues
Journal article
Wang, S. M.. Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues[J]. Genomics, 2005, 127-141.
Authors:
Wang, S. M.
Favorite
|
TC[WOS]:
211
TC[Scopus]:
215
IF:
3.4
/
3.5
|
Submit date:2022/07/27
Tissue-specific Gene
Tumor Differentiation
Dna Microarray Data Interpretation
Breadth Of Expression
Brca1
Esr1
Analysis and visualization of gene expression data using Self-Organizing Maps
Conference paper
Nikkila J., Toronen P., Kaski S., Venna J., Castren E., Wong G.. Analysis and visualization of gene expression data using Self-Organizing Maps[C], 2002, 953-966.
Authors:
Nikkila J.
;
Toronen P.
;
Kaski S.
;
Venna J.
;
Castren E.
; et al.
Favorite
|
TC[WOS]:
108
TC[Scopus]:
123
|
Submit date:2018/12/18
Clustering
Exploratory data analysis
Gene expression
Information visualization
Self-Organizing Map
Analysis of gene expression data using self-organizing maps
Journal article
Toronen P., Kolehmainen M., Wong G., Castren E.. Analysis of gene expression data using self-organizing maps[J]. FEBS Letters, 1999, 451(2), 142-146.
Authors:
Toronen P.
;
Kolehmainen M.
;
Wong G.
;
Castren E.
Favorite
|
TC[WOS]:
371
TC[Scopus]:
441
|
Submit date:2018/12/18
Cluster Analysis
Gene Expression Data
Sammon's Mapping
Self-organizing Map
Yeast