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Books on the topic 'Omics data analysi'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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2

Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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4

Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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5

Tseng, George C., Debashis Ghosh, and Xianghong Jasmine Zhou. Integrating Omics Data. Cambridge University Press, 2015.

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6

Integrating Omics Data. Cambridge University Press, 2015.

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7

Tseng, George, Debashis Ghosh, and Xianghong Jasmine Zhou. Integrating Omics Data. Cambridge University Press, 2015.

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8

Big Data in Omics and Imaging: Association Analysis. Taylor & Francis Group, 2017.

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9

Xiong, Momiao. Big Data in Omics and Imaging: Association Analysis. Taylor & Francis Group, 2017.

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10

Qingfeng, Chen, Wei Lan, Yi-Ping Phoebe Chen, and Wilson Wen Bin Goh, eds. Graph Embedding Methods for Multiple-Omics Data Analysis. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-600-5.

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11

Xiong, Momiao. Big Data in Omics and Imaging: Association Analysis. Taylor & Francis Group, 2017.

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12

Big Data in Omics and Imaging: Association Analysis. Taylor & Francis Group, 2017.

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13

Xiong, Momiao. Big Data in Omics and Imaging: Association Analysis. Taylor & Francis Group, 2017.

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14

Buzdin, Anton. Molecular Pathway Analysis Using High-Throughout OMICS Molecular Data. Elsevier Science & Technology Books, 2024.

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15

Zeng, Tao, Tao Huang, and Chuan Lu, eds. Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88963-554-2.

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16

Tseng, George C., Zhiguang Huo, and Tianzhou Ma. Foundations for High-Throughput Omics Data Analysis: Methods, Theories and Applications. Taylor & Francis Group, 2023.

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17

Cheng, Lixin, Yunyan Gu, Yanni Sun, Shibiao Wan, and Hongwei Wang, eds. Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88971-663-0.

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18

Xiong, Momiao. Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Chapman and Hall/CRC, 2021.

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19

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Taylor & Francis Group, 2018.

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20

Xiong, Momiao. Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Taylor & Francis Group, 2018.

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21

Xiong, Momiao. Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Taylor & Francis Group, 2018.

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22

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Taylor & Francis Group, 2018.

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23

Xiong, Momiao. Big Data in Omics and Imaging: Integrated Analysis and Causal Inference. Taylor & Francis Group, 2018.

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24

Data Analysis for Omic Sciences: Methods and Applications. Elsevier, 2018. http://dx.doi.org/10.1016/s0166-526x(18)x0004-x.

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25

Jaumot, Joaquim, Carmen Bedia, and Romà Tauler. Data Analysis for Omic Sciences: Methods and Applications. Elsevier, 2018.

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26

Jaumot, Joaquim, Carmen Bedia, and Romà Tauler. Data Analysis for Omic Sciences: Methods and Applications. Elsevier, 2018.

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27

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Limited, John, 2010.

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28

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2009.

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29

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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30

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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31

Evolution Of Translational Omics Lessons Learned And The Path Forward. National Academies Press, 2012.

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32

Kinmonth, Ann-Louise, Nick Wareham, Rhys Williams, and William Herman. Evidence Base for Diabetes Care: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2014.

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33

Suman, Shankar, Shivam Priya, and Akanksha Nigam, eds. Breast Cancer: Current Trends in Molecular Research. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97816810895221120101.

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Abstract:

Breast cancer is one of the most common cancer types worldwide, and is a leading cause of cancer related deaths in women. In this book, medical experts review our current understanding of the molecular biology and characteristics of breast cancer. The topics covered in this book provide comprehensive knowledge of mechanisms underlying breast carcinogenesis, and are intended for a wide audience including scientists, teachers, and students. 11 chapters present information about several topics on breast cancer, including the role of cell growth and proliferation pathways, androgen and cytokine signaling, germline mutations in breast cancer susceptibility genes, and molecular factors causing invasive and metastatic breast cancer. In addition, the editors discuss the recent advancements in multi-omics data analysis based on inter-and intra-tumor molecular profiles. The reference highlights how the knowledge and understanding of the biological behavior of breast neoplasms have facilitated ongoing investigations into dietary polyphenolic compounds with antioxidant properties, making them function as cancer chemopreventive agents. Along with this, the current development of treatment strategies such as targeted molecular therapy, and radiation therapy is brought to the fore to update readers.

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