Showing 441 - 460 results of 2,086 for search '"Microarray"', query time: 0.07s Refine Results
  1. 441

    Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data by Maryam Farhadian, Paulo J. G. Lisboa, Abbas Moghimbeigi, Jalal Poorolajal, Hossein Mahjub

    Published 2014-01-01
    “…In microarray studies, the number of samples is relatively small compared to the number of genes per sample. …”
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    Article
  2. 442

    Next-generation sequencing for endocrine cancers: Recent advances and challenges by Padmanaban S Suresh, Thejaswini Venkatesh, Rie Tsutsumi, Abhishek Shetty

    Published 2017-04-01
    “…Microarray data can also elucidate the responses of endocrine tumors to therapeutic treatments. …”
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    Article
  3. 443

    RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

    Published 2023-04-01
    “…Early cancer detection is greatly aided by machine learning and artificial intelligence (AI) to gene microarray data sets (microarray data). Despite this, there is a significant discrepancy between the number of gene features in the microarray data set and the number of samples. …”
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    Article
  4. 444
  5. 445

    Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis. by Chao Hu, Fan Wang, Hui Xu, XiQi Dong, XiuJuan Xiong, Yun Zhang, TianCheng Zhao, YuanQiao He, LiBin Deng, XiongBing Lu

    Published 2025-01-01
    “…The prognostic value of Lymph_inside % was validated in the HBlaU079Su01 microarray. Multiomics analysis demonstrated that Lymph_inside % demonstrated significant positive correlations with antitumor immune cell abundance and the apoptosis pathway. …”
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    Article
  6. 446

    Identification and Validation of a Potential Marker of Tissue Quality Using Gene Expression Analysis of Human Colorectal Tissue. by Nicole Lange, Florian T Unger, Monika Schöppler, Katja Pursche, Hartmut Juhl, Kerstin A David

    Published 2015-01-01
    “…Normal colorectal tissue and CRC tissue was analyzed using microarray and quantitative real-time PCR (qPCR). Comparing changes in gene expression between pre- and post-surgical tissue using microarray analysis identified a list of potential tissue quality biomarkers and this list was validated using qPCR. …”
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    Article
  7. 447

    Prognostic role of FUT8 expression in relation to p53 status in stage II and III colorectal cancer. by Masaru Noda, Hirokazu Okayama, Yasuhide Kofunato, Shun Chida, Katsuharu Saito, Takeshi Tada, Mai Ashizawa, Takahiro Nakajima, Keita Aoto, Tomohiro Kikuchi, Wataru Sakamoto, Hisahito Endo, Shotaro Fujita, Motonobu Saito, Tomoyuki Momma, Shinji Ohki, Koji Kono

    Published 2018-01-01
    “…Utilizing multiple datasets of microarray and RNA sequence of CRC, FUT8 mRNA was found to be highly expressed in wild-type p53 tumors (n = 382) compared to those of mutant p53 (n = 437). …”
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    Article
  8. 448

    Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. by Andrew Filer, Philipp Antczak, Greg N Parsonage, Holly M Legault, Margot O'Toole, Mark J Pearson, Andrew M Thomas, Dagmar Scheel-Toellner, Karim Raza, Christopher D Buckley, Francesco Falciani

    Published 2015-01-01
    “…To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including rheumatoid arthritis (RA), osteoarthritis (OA) and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. …”
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    Article
  9. 449

    Renal tissue thawed for 30 minutes is still suitable for gene expression analysis. by Yi Ma, Xiao-Nan Kang, Wen-Bin Ding, Hao-Zheng Yang, Ye Wang, Jin Zhang, Yi-Ran Huang, Hui-Li Dai

    Published 2014-01-01
    “…The results showed RNA degraded more after longer incubation at room temperature. However, microarray results showed only 240 genes (0.91%) altered significantly in response to thawing at room temperature. …”
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    Article
  10. 450

    Protein detection enhanced by 3DNA dendrimer signal amplification by Johanna R. Mora, Tamara L. Zielinski, Bryce P. Nelson, Robert C. Getts

    Published 2008-05-01
    “…DNA dendrimers, conjugated with both anti-biotin antibodies and up to 350 labeling entities, were designed and adapted to protein microarray and enzyme-linked immunosorbent assay (ELISA) to improve the limits of protein detection with no additional steps or equipment. …”
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    Article
  11. 451

    Clinical profile and cytogenetics of siblings with Jacobsen syndrome by Abinaya Gunalan, Priya Jose, Allen David, Peter Prasanth Kumar Kommu

    Published 2025-01-01
    “…Segmental duplication (22.2 Mb) on the long arm of chromosome 14 and deletion of 5.9 Mb on 11q24 were revealed by chromosomal microarray analysis.…”
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    Article
  12. 452

    Attenuated monocyte apoptosis, a new mechanism for osteoporosis suggested by a transcriptome-wide expression study of monocytes. by Yao-Zhong Liu, Yu Zhou, Lei Zhang, Jian Li, Qing Tian, Ji-Gang Zhang, Hong-Wen Deng

    Published 2015-01-01
    “…<h4>Aim</h4>To identify osteoporosis-related genes, we performed microarray analyses of monocytes using Affymetrix 1.0 ST arrays in 42 (including 16 pre- and 26 postmenopausal) high hip BMD (bone mineral density) vs. 31 (including 15 pre- and 16 postmenopausal) low hip BMD Caucasian female subjects. …”
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  13. 453
  14. 454

    CFS-MOES Ensemble Model on Metaheuristic Search-Based Feature Selection by Santosini Bhutia, Bichitrananda Patra, Mitrabinda Ray

    Published 2024-01-01
    “…However, the tremendous dimensionality of the microarray cancer dataset is the greatest challenge in interpreting the data. …”
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    Article
  15. 455

    RNA-Seq profiling reveals novel hepatic gene expression pattern in aflatoxin B1 treated rats. by B Alex Merrick, Dhiral P Phadke, Scott S Auerbach, Deepak Mav, Suzy M Stiegelmeyer, Ruchir R Shah, Raymond R Tice

    Published 2013-01-01
    “…We hypothesized RNA-Seq would reveal more differentially expressed genes (DEG) than microarray analysis, including low copy and novel transcripts related to AFB1's carcinogenic activity compared to feed controls (CTRL). …”
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    Article
  16. 456

    Genes Related to Mitochondrial Functions, Protein Degradation, and Chromatin Folding Are Differentially Expressed in Lymphomonocytes of Rett Syndrome Patients by Alessandra Pecorelli, Guido Leoni, Franco Cervellati, Raffaella Canali, Cinzia Signorini, Silvia Leoncini, Alessio Cortelazzo, Claudio De Felice, Lucia Ciccoli, Joussef Hayek, Giuseppe Valacchi

    Published 2013-01-01
    “…LIMMA (Linear Models for MicroArray) and SAM (Significance Analysis of Microarrays) analyses on microarray data from 12 RTT patients and 7 control subjects identified 482 genes modulated in RTT, of which 430 were upregulated and 52 were downregulated. …”
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    Article
  17. 457

    Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

    Published 2025-08-01
    “…However, the late enriched understanding of the genetic underpinnings of AD has been made possible due to recent advancements in data mining analysis methods, machine learning, and microarray technologies. However, the “curse of dimensionality” caused by the high-dimensional microarray datasets impacts the accurate prediction of the disease due to issues of overfitting, bias, and high computational demands. …”
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    Article
  18. 458

    On-Chip DNA Assembly via Dielectrophoresis by Xichuan Rui, Lin-Sheng Wu, Xin Zhao

    Published 2025-01-01
    “…While there exist several microarray-based oligo synthesis technologies, on-chip gene assembly has yet to be demonstrated. …”
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    Article
  19. 459

    The impact of focused Gene Ontology curation of specific mammalian systems. by Yasmin Alam-Faruque, Rachael P Huntley, Varsha K Khodiyar, Evelyn B Camon, Emily C Dimmer, Tony Sawford, Maria J Martin, Claire O'Donovan, Philippa J Talmud, Peter Scambler, Rolf Apweiler, Ruth C Lovering

    Published 2011-01-01
    “…This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.…”
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    Article
  20. 460

    Chapter 8: Biological knowledge assembly and interpretation. by Ju Han Kim

    Published 2012-01-01
    “…Most methods for large-scale gene expression microarray and RNA-Seq data analysis are designed to determine the lists of genes or gene products that show distinct patterns and/or significant differences. …”
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    Article