Nonlinear Quantitative Radiation Sensitivity Prediction Model Based on NCI-60 Cancer Cell Lines by Chunying Zhang, Luc Girard, Amit Das, Sun Chen, Guangqiang Zheng, Kai Song

“…Important radiation therapy (RT) related genes were selected by significance analysis of microarrays (SAM). Orthogonal latent variables (LVs) were then extracted by the partial least squares (PLS) method as the new compressive input variables. …”
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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

“…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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An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma. by Melanie Gschaider, Friederike Neumann, Bettina Peters, Florian Lenz, Michael Cibena, Malgorzata Goiser, Ingrid Wolf, Jörg Wenzel, Cornelia Mauch, Wolfgang Schreiner, Stephan N Wagner

“…For class comparison, gene expression data from 116 patients with clinical stage I/II (no metastasis) and 72 with III/IV primary melanoma (with metastasis) at time of first diagnosis were used. Significance analysis of microarrays identified the top 50 differentially expressed genes. …”
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Prolonged application of high fluid shear to chondrocytes recapitulates gene expression profiles associated with osteoarthritis. by Fei Zhu, Pu Wang, Norman H Lee, Mary B Goldring, Konstantinos Konstantopoulos

“…Using significance analysis of microarrays with a 5% false discovery rate, 71 and 60 non-redundant transcripts were identified to be ≥2-fold up-regulated and ≤0.6-fold down-regulated, respectively, in sheared chondrocytes. …”
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Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas by Xing Liu, Yiming Li, Zhiyan Sun, Shaowu Li, Kai Wang, Xing Fan, Yuqing Liu, Lei Wang, Yinyan Wang, Tao Jiang

“…Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. …”
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A regulatory mutant on TRIM26 conferring the risk of nasopharyngeal carcinoma by inducing low immune response by Xiao‐Ming Lyu, Xiao‐Wei Zhu, Manli Zhao, Xian‐Bo Zuo, Zhong‐Xi Huang, Xiao Liu, Tao Jiang, Xue‐Xi Yang, Xin Li, Xiao‐Bing Long, Jian‐Guo Wang, Jin‐Bang Li, Ming‐Yu Han, Shuang Wang, Teng‐Fei Liu, Bo Zhang, Tao Sun, Zhi Cheng, Mo‐Chang Qiu, Lei Dong, Lu Zheng, Long‐Cheng Zhang, Jia‐Hong Wang, Gan‐Guan Wei, Kaitai Yao, Qian Wang, Hou‐Feng Zheng, Xin Li

“…ChIP data showed that YY1 was binding with T not A allele. Significance analysis of microarray suggested that TRIM26 downregulation was related to low immune response in NPC. …”
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Genome Array on Differentially Expressed Genes of Skin Tissue in Cashmere Goat at Early Anagen of Cashmere Growth Cycle Using DNA Microarray by Jiang DI, Xin-ming XU, Lazate Ainiwaer, Yan-hua ZHANG, Ke-chuan TIAN, Li-juan YU, Wei-wei WU, Hanikezi Tulafu, Xue-feng FU, Marzeya Yasen

“…In order to study the molecular mechanism involved in cashmere regeneration, this study investigated the gene expression profile of skin tissue at various stages of the cashmere growth cycle and screen differentially expressed genes at proangen in 10 cashmere goats at 2 years of age using agilent sheep oligo microarray. Significance analysis of microarray (SAM) methods was used to identify the differentially expressed genes, Hierarchical clustering was performed to clarify these genes in association with different cashmere growth stages, and GO (Gene ontology) and the pathway analyses were con-ducted by a free web-based Molecular Annotation System3.0 (MAS 3.0). …”
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