Statistical methods for microarray data analysis : methods and protocols / by Yakovlev, Andrei Y., Klebanov, Lev, Gaile, Daniel

Subjects: “…DNA microarrays…”

Functional analysis of microarray gene expression data using random forest and gene ontology / by Tham, Wen Shi, 1989-, author, Mohd. Saberi Mohammad, Fakulti Komputeran

Subjects: “…DNA microarrays…”

Functional analysis of microarray gene expression data using random forest and gene ontology [electronic resource] / by Tham, Wen Shi, 1989-, author

Subjects: “…DNA microarrays…”

Functional analysis of microarray gene expression data using gene selection method with gene ontology / by Lem, Sze Yee, 1990-, author, Mohd. Saberi Mohamad, supervisor, Fakulti Komputeran

Subjects: “…DNA microarrays…”

Functional analysis of microarray gene expression data using gene selection method with gene ontology [electronic resource] / by Lem, Sze Yee, 1990-, author

Subjects: “…DNA microarrays…”

Gene subset selection for cancer classification by using an improved proportional overlapping score method / by Sri Nursyafika Ahmad Damanhuri, 1993-, Mohd. Saberi, supervisor, Fakulti Komputeran 538688

Subjects: “…DNA microarrays…”

Gene subset selection for cancer classification by using an improved proportional overlapping score method [electronic resource] / by Sri Nursyafika Ahmad Damanhuri, 1993-, Mohd. Saberi, supervisor, Fakulti Komputeran 538688

Subjects: “…DNA microarrays…”

Methods of microarray data analysis data analysis V / by McConnell, Patrick, Lin, Simon M., 1957-, Hurban, Patrick, SpringerLink (Online service)

Subjects: “…DNA microarrays…”
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Analysis of microarray data : a network-based approach / by Dehmer, Matthias, 1968-, Emmert-Streib, Frank

Subjects: “…DNA microarrays…”

Exploration and analysis of DNA microarray and protein array data / by Amaratunga, Dhammika, 1956-, Cabrera, Javier

Subjects:

Applying genomic and proteomic microarray technology in drug discovery / by 224468 Matson, Robert S.

Subjects:

Random forest for gene selection and microarray data classification / by Kohbalan Moorthy, 1987-, author, Mohd. Saberi Mohamad, Fakulti Sains Komputer dan Sistem Maklumat

Subjects:

Statistics and data analysis for microarrays using R and bioconductor / by 224593 Draghici, Sorin author

Subjects: “…DNA microarrays…”

Applying genomic and proteomic microarray technology in drug discovery / by 224468 Matson, Robert S.

Tracking ebolavirus genomic drift with a resequencing microarray. by Irina Tiper, Moussa Kourout, Bryan Lanning, Carolyn Fisher, Krishnamurthy Konduru, Anjan Purkayastha, Gerardo Kaplan, Robert Duncan

“…This study presents the design and initial evaluation of an ebolavirus resequencing microarray (Ebolavirus-RMA) system for sequencing the major genomic regions of four Ebolaviruses that cause disease in humans. …”
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The potential of microarray databases to identify tissue specific genes by KAPLAN S, BOZTEPE S, ARIKOĞLU H

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Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis by Xijing Liu, Xijing Liu, Xijing Liu, Shanling Liu, Shanling Liu, Shanling Liu, He Wang, He Wang, He Wang, Ting Hu, Ting Hu, Ting Hu

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Inter-Platform comparability of microarrays in acute lymphoblastic leukemia by Mintz Michelle, Henry Michael M, Brown Kevin M, Mitchell Stephanie A, Catchpoole Daniel, LaFleur Bonnie, Stephan Dietrich A

“…</p> <p>Conclusion</p> <p>Interarray comparisons such as this one will further enhance the ability to integrate data from several generations of microarray experiments and will help to break down barriers to the assimilation of existing datasets into a comprehensive data pool.…”
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Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis by Xi Wang, Yujie Ning, Feng Zhang, Fangfang Yu, Wuhong Tan, Yanxia Lei, Cuiyan Wu, Jingjing Zheng, Sen Wang, Hanjie Yu, Zheng Li, Mikko J. Lammi, Xiong Guo

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FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

“…The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset.…”
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