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Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma
Asma Vafadar ; Shayan Khalili Alashti ; Saeed Khazayel ; et al.
Journal of Translational Medicine, Vol 23, Iss 1, Pp 1-20 (2025)

Asthma Microarray meta-analysis Gene expression MiRNA Bioinformatics Hub genes
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Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM
Mirzal, A.
IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 19(2):1173-1192 Apr, 2022

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Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data
Rahmatzadeh, Mahdi ; Shokri-Gharelo, Reza ; Derakhti-Dizaji, Morteza ; et al.
In Biochemistry and Biophysics Reports September 2025 43

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Identifying Key Biomarkers in Celiac Disease through Analysis of Microarray Data
Asma Vafadar ; Shayan Khalili Alashti ; Sajad Alavimanesh ; et al.
Journal of Medical Signals and Sensors, Vol 15, Iss 12, Pp 33-33 (2025)

bioinformatics biomarker celiac disease gene expression profilin... microarray analysis systems biology
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6

A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data
Huang, Jian ; Wang, Deli ; Zhang, Cun-Hui
Journal of the American Statistical Association, 2005 Sep 01. 100(471), 814-829.

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Pathway Enrichment Analysis of Microarray Data Fom Human Penis of Diabetic and Peyronie's Patients, in Comparison With Diabetic Rat Erectile Dysfunction Models
Searl, Tim ; Ohlander, Samuel ; McVary, Kevin T. ; et al.
In The Journal of Sexual Medicine January 2022 19(1):37-53

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Cancer Gene Analysis of Microarray Data
Shinmura, Shuichi
2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD) BCD Big Data, Cloud Computing, Data Science & Engineering (BCD), 2018 IEEE International Conference on. :1-6 Jul, 2018

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A software pipeline for multiple microarray data analysis
Agapito, Giuseppe ; Cannataro, Mario
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. :1941-1944 Nov, 2017

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Computational analysis of microarray data of Arabidopsis thaliana challenged with Alternaria brassicicola for identification of key genes in Brassica
Pathak, Rajesh Kumar ; Baunthiyal, Mamta ; Pandey, Dinesh ; et al.
In Journal of Genetic Engineering and Biotechnology December 2020 18(1)

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11

A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data
Li, Xiao ; Zhang, Tuo ; Liu, Tao ; et al.
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on. :829-832 Apr, 2016

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12

Correspondence Analysis Applied to Microarray Data
Fellenberg, Kurt ; Hauser, Nicole C. ; Brors, Benedikt ; et al.
Proceedings of the National Academy of Sciences of the United States of America, 2001 Sep 01. 98(19), 10781-10786.

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13

Random Forest and Gene Ontology for functional analysis of microarray data
Shi, Tham Wen ; Moorthy, Kohbalan ; Mohamad, Mohd Saberi ; et al.
2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA) Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on. :29-34 Nov, 2014

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14

Identification of key genes effective in tolerance to drought stress in rice through meta-analysis of microarray data
Sedigheh Soltanpour ; Alireza Tarinejad ; Karim Hasanpur ; et al.
مجله بیوتکنولوژی کشاورزی, Vol 15, Iss 3, Pp 251-276 (2023)

meta-analysis microarray drought stress hub genes sustainable agriculture Agriculture
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15

Re-Exploring Biomarkers and Therapeutic Targets in Primary Melanoma Patients: Insights from Network-Based Analysis of Microarray Data
SHEN, Kangjie ; WEI, Chuanyuan ; XIE, Yi ; et al.
In Chinese Journal of Plastic and Reconstructive Surgery December 2020 2(4):228-240

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Differential Gene Expression Analysis on Microarray Data of Breast Cancer Based on Subgroup Statistic Methods
Ji, Zhaohua ; Liu, Fu ; Wang, Yao ; et al.
2012 International Conference on Biomedical Engineering and Biotechnology Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on. :167-171 May, 2012

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17

Constructing mRNA, miRNA, circRNA and lncRNA regulatory network by Analysis of microarray data in breast cancer
Hassani, Bita ; Mollanoori, Hasan ; Pouresmaeili, Farkhondeh ; et al.
In Gene Reports March 2022 26

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18

An Introduction to MAMA (Meta-Analysis of MicroArray data) System
Zhe Zhang ; Fenstermacher, D.
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the. :7730-7733 2005

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19

Statistical Analysis of Microarray Data to Identify Key Gene Expression Patterns in Primary Hyperoxaluria
Adiga, Usha ; Kishore, Banubadi Anil ; Supriya, P. ; et al.
International Journal of Statistics in Medical Research; Vol. 13 (2024); 436-449; 1929-6029

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20

K-means Clustering and Principal Components Analysis of Microarray Data of L1000 Landmark Genes
Clayman, Carly L. ; Srinivasan, Satish M. ; Sangwan, Raghvinder S.
In Procedia Computer Science 2020 168:97-104

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