A biomimetic algorithm for the improved detection of microarray features, by Nicolau jr, D, Nicolau, D, Maini, P

“…One the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. …”

Label and label-free detection techniques for protein microarrays by Amir Hamzah, Amir Syahir, Usui, Kenji, Tomizaki, Kinya, Kajikawa, Kotaro, Mihara, Hisakazu

“…Protein microarray technology has gone through numerous innovative developments in recent decades. …”
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Random forest for gene selection and microarray data classification by Moorthy, Kohbalan, Mohammad, Mohd. Saberi

“…A random forest method has been selected to perform both gene selection and classification of the microarray data. The goal of this research is to develop and improve the random forest gene selection method. …”

Random forest for gene selection and microarray data classification by Moorthy, Kohbalan, Mohamad, Mohd. Saberi

“…A random forest method has been selected to perform both gene selection and classification of the microarray data. In this embedded method, the selection of smallest possible sets of genes with lowest error rates is the key factor in achieving highest classification accuracy. …”

Frontiers in biochip technology / by Xing, Wan-Li, Cheng, Jing, 1963-

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Imputing microarry gene expression data by implementing partial least square method for survival analysis / by Anthony Thomas, 1987-, Nurulhuda Ghazali, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

Subjects: “…DNA microarrays…”

Imputing microarry gene expression data by implementing partial least square method for survival analysis [electronic resource] / by Anthony Thomas, 1987-

Subjects: “…DNA microarrays…”

A pathway-based approach for analyzing microarray data using random forests / by Chin, Hui Shi, 1986-, author, Siti Zaiton Mohd Hashim, Mohd. Saberi Mohamad, Fakulti Sains Komputer dan Sistem Maklumat

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A pathway-based approach for analyzing microarray data using random forests [electronic resource] / by Chin, Hui Shi, 1986-, author

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Using bayesian networks to construct gene regulatory networks from microarray data / by Tan, Ai Kung, 1987-, Mohd. Saberi Mohamad, Fakulti Sains Komputer dan Sistem Maklumat

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Using bayesian networks to construct gene regulatory networks from microarray data [electronic resource] / by Tan, Ai Kung, 1987-

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Random forest for gene selection and microarray data classification [electronic resource] / by Kohbalan Moorthy, 1987-, author

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Gene selection and classification of microarray data using hybrid huberized support vector machine / by Chong, Wee Shan, 1987-, author, Roliana Ibrahim, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

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Gene selection and classification of microarray data using hybrid huberized support vector machine [electronic resource] / by Chong, Wee Shan, 1987-, author

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Functional genomics and gene chips - the use in research and clinical medicine by L Joos, E Eryüksel

Subjects: “…Microarrays…”
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Copy Number Variants Contributing to Combined Pituitary Hormone Deficiency by Bartłomiej Budny, Katarzyna Karmelita-Katulska, Marek Stajgis, Tomasz Żemojtel, Marek Ruchała, Katarzyna Ziemnicka

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Missing-values imputation algorithms for microarray gene expression data by Moorthy, Kohbalan, Jaber, Aws Naser, Mohd Arfian, Ismail, Ernawan, Ferda, Mohd Saberi, Mohamad, Safaai, Deris

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Advanced spot quality analysis in two-colour microarray experiments by Vetter Guillaume, Novikov Eugene, Yatskou Mikalai, Muller Arnaud, Barillot Emmanuel, Vallar Laurent, Friederich Evelyne

“…<p>Abstract</p> <p>Background</p> <p>Image analysis of microarrays and, in particular, spot quantification and spot quality control, is one of the most important steps in statistical analysis of microarray data. …”
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Implementation of Ensemble Method in Schizophrenia Identification Based on Microarray Data by Diya Namira Purba, Fhira Nhita, Isman Kurniawan

Subjects: “…keywords: ensemble method, microarray, schizophrenia, disease detection…”
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Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays by Yue Zhang, Yue Zhang, Sihua Zhang, Sihua Zhang, Jianhua Liu, Jianhua Liu, Yunli Zhang, Yanjie Liu, Shuang Shen, Fangfang Tian, Gaobo Yan, Yongqing Gao, Xiaosong Qin, Xiaosong Qin

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