Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Drug and cell type-specific regulation of genes with different classes of estrogen receptor beta-selective agonists. by Sreenivasan Paruthiyil, Aleksandra Cvoro, Xiaoyue Zhao, Zhijin Wu, Yunxia Sui, Richard E Staub, Scott Baggett, Candice B Herber, Chandi Griffin, Mary Tagliaferri, Heather A Harris, Isaac Cohen, Leonard F Bjeldanes, Terence P Speed, Fred Schaufele, Dale C Leitman

“…U2OS cells stably transfected with ERalpha or ERbeta were treated with E(2) or the ERbeta-selective compounds for 6 h. Microarray data demonstrated that ERB-041, MF101 and liquiritigenin were the most ERbeta-selective agonists compared to estradiol, followed by nyasol and then diarylpropionitrile. …”
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Enucleation-Induced Rat Adrenal Gland Regeneration: Expression Profile of Selected Genes Involved in Control of Adrenocortical Cell Proliferation by Marianna Tyczewska, Marcin Rucinski, Agnieszka Ziolkowska, Marta Szyszka, Marcin Trejter, Anna Hochol-Molenda, Krzysztof W. Nowak, Ludwik K. Malendowicz

“…Factors encoded by these genes obscure possible priming effects of various cytokines on initiation of regeneration. …”
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Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

“…To alleviate such an effect, this study proposes a gene selection approach based on the parameter-free and large-scale manta ray foraging optimization algorithm. …”
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Themis2/ICB1 is a signaling scaffold that selectively regulates macrophage Toll-like receptor signaling and cytokine production. by Matthew J Peirce, Matthew Brook, Nicholas Morrice, Robert Snelgrove, Shajna Begum, Alessandra Lanfrancotti, Clare Notley, Tracy Hussell, Andrew P Cope, Robin Wait

“…A second member of this family, Themis2 (Q91YX0), also known as ICB1 (Induced on contact with basement membrane 1), remains unreported at the protein level despite microarray and EST databases reporting Themis2 mRNA expression in B cells and macrophages.…”
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Mechanism-based screen for G1/S checkpoint activators identifies a selective activator of EIF2AK3/PERK signalling. by Simon R Stockwell, Georgina Platt, S Elaine Barrie, Georgia Zoumpoulidou, Robert H Te Poele, G Wynne Aherne, Stuart C Wilson, Peter Sheldrake, Edward McDonald, Mathilde Venet, Christelle Soudy, Frédéric Elustondo, Laurent Rigoreau, Julian Blagg, Paul Workman, Michelle D Garrett, Sibylle Mittnacht

“…Transcriptional profiling by cDNA microarray combined with reverse genetics revealed phosphorylation of the eukaryotic initiation factor 2-alpha (EIF2A) through the eukaryotic translation initiation factor 2-alpha kinase 3 (EIF2AK3/PERK) as the mechanism of action of this compound. …”
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Screening of molecular markers associated with hornless traits in Qira black sheep by Wen Zhou, Lijun Zhu, Yuwei Peng, Xiaopeng Li, Xuechen Zhang, Zhipeng Han, Jingping Li, Xinyu Bai, Qifeng Gao, Ruizhi Yang, Tao Jiang, Shudong Liu

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Quantitative and Qualitative Variations in TILs in Risk Stratification and Patient Selection for Neoadjuvant Chemotherapy of the Luminal B and Triple-Negative Breast Cancer Immunop... by Ana Car Peterko, Koraljka Rajković Molek, Anita Savić Vuković, Tamara Gulić, Petra Valković Zujić, Eleonora Cini Tešar, Damir Juranić, Aleksandra Pirjavec Mahić, Franjo Lovasić, Gordana Đorđević, Manuela Avirović

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HEREDITARY DISEASES AND SYNDROMES ACCOMPANIED BY FEBRILE CONVULSIONS: CLINICAL AND GENETIC CHARACTERISTICS AND DIAGNOSTIC PROCEDURES by E. L. Dadali, A. A. Sharkov, I. V. Sharkova, I. V. Kanivets, F. A. Konovalov, I. A. Akimova

“…It also determines the significance of using a chromosomal microarray analysis to diagnose both chromosomal and monogenic diseases accompanied by convulsions.…”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Detecting cancer early by examining gene expression data is vital for providing effective patient care. Each sample in the Gene dataset usually includes a range of features, each representing a specific gene. …”
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A practical distribution pattern of α-SMA-positive carcinoma associated fibroblasts indicates poor prognosis of patients with pancreatic ductal adenocarcinoma by Bo Li, Meilong Shi, Yang Wang, Penghao Li, Xiaoyi Yin, Guoxiao Zhang, Xiaochao Kang, Huan Wang, Suizhi Gao, Kailian Zheng, Xiaohan Shi, Xiongfei Xu, Yukun Zhou, Hui Jiang, Wei Jing, Shiwei Guo, Gang Jin

“…We utilized a tissue microarray to assess the spatial intensity of α-SMA expression within the tumor microenvironment. …”
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The antioxidant stress effect of granulin precursor in vitiligo by Haoran Guo, Jing Chen, Ling Jiang

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Effects of tumour-associated macrophages on cardia carcinoma progression by Zhixiong Zhang, Zihong Xu, Yaowu Cai, Xintong Chen, Chaoqing Huang, Xuefeng Xu

“…Methods Cancer tissue and pericancer tissue samples from 80 patients with cardia carcinoma who underwent D2 radical surgery between January 2014 and January 2015 at Putian First Hospital were selected. Tissue microarrays were fabricated, and immunohistochemistry technology was used to detect the infiltration of TAMs (CD163 as a marker) and to analyse their relationship with the clinicopathological characteristics of the patients. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

“…The opposition based learning (OBL) technique is used to mitigate the risk of CSA converging towards local optima. To evaluate the effectiveness of our approach, we conduct experiments on benchmark microarray datasets from the ADNI database. …”
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Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer by Jefim Brodkin, Tuomas Kaprio, Jaana Hagström, Alli Leppä, Arto Kokkola, Caj Haglund, Camilla Böckelman

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Effects of proteasome inhibitor MG-132 on the parasite Schistosoma mansoni. by Enyara R Morais, Katia C Oliveira, Renato G de Paula, Alice M M Ornelas, Érika B C Moreira, Fernanda Rafacho Badoco, Lizandra G Magalhães, Sergio Verjovski-Almeida, Vanderlei Rodrigues

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Successful strategy of comprehensive pre-implantation genetic testing for Duchenne muscular dystrophy and chromosome balance using karyomapping and fluorescent PCR by Suchada Mongkolchaipak, Sirivipa Piyamongkol, Chutithep Teekaput, Rungthiwa Sirapat, Wanwisa Suriya, Tawiwan Pantasri, Theera Tongsong, Wirawit Piyamongkol

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Effects of matrix metalloproteinase inhibition in cultured human Tenon’s capsule fibroblasts by Na Hyun Kim, Kyung Eun Han, Roo Min Jun, Seongsoo Sohn, Changwon Kee, Wool Suh

“…Abstract Background This study aimed to compare the characteristics of anterior and posterior human Tenon’s capsule fibroblasts and determine the effect of matrix metalloproteinase (MMP) inhibition on cultured human Tenon’s capsule fibroblasts. …”
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Effects of long-term pioglitazone treatment on peripheral and central markers of aging. by Eric M Blalock, Jeremiah T Phelps, Tristano Pancani, James L Searcy, Katie L Anderson, John C Gant, Jelena Popovic, Margarita G Avdiushko, Don A Cohen, Kuey-Chu Chen, Nada M Porter, Olivier Thibault

“…Finally, a combination of microarray analyses on hippocampal tissue and serum-based multiplex cytokine assays revealed that age-dependent inflammatory increases were not reversed by PIO.…”
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Effect of Huangqin Tang on Colonic Gene Expression in Rats with Ulcerative Colitis by Dunfang Wang, KaiFeng Shi, Yanli Wang, Dixin Zou, Shanshan Guo, Tao Li, Hangyu Xu, Xuran Ma, JiaXing Liu, HongXin Song, Weipeng Yang, Yu Li

“…After a ten-day treatment, microarray analysis was performed from the colon segment of the rats. …”
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