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Books on the topic 'Omic data'

Author: Grafiati

Published: 19 April 2025

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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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3

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

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4

Mayer, Bernd, ed. Bioinformatics for Omics Data. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-027-0.

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5

Ning, Kang, ed. Methodologies of Multi-Omics Data Integration and Data Mining. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8210-1.

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6

Alkhateeb, Abedalrhman, and Luis Rueda, eds. Machine Learning Methods for Multi-Omics Data Integration. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-36502-7.

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7

Tieri, Paolo, Christine Nardini, and Jennifer Elizabeth Dent, eds. Multi-omic Data Integration. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-648-7.

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8

Romualdi, Chiara, Enrica Calura, Davide Risso, Sampsa Hautaniemi, and Francesca Finotello, eds. Multi-omic Data Integration in Oncology. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-151-0.

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9

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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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

Zhou, Fengfeng, William C. Cho, Lin Hua, Jie Li, and Feng Liu, eds. Biomarker Detection Algorithms and Tools for Medical Imaging or Omic Data. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-570-6.

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18

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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19

González, Juan R., and Alejandro Cáceres. Omic Association Studies with R and Bioconductor. Taylor & Francis Group, 2019.

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20

González, Juan R., and Alejandro Cáceres. Omic Association Studies with R and Bioconductor. Taylor & Francis Group, 2019.

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21

González, Juan R., and Alejandro Cáceres. Omic Association Studies with R and Bioconductor. Taylor & Francis Group, 2019.

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22

Omic Association Studies with R and Bioconductor. Taylor & Francis Group, 2019.

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23

Integrating Omics Data. Cambridge University Press, 2015.

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24

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

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25

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

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26

Xiong, Momiao. Big Data in Omics and Imaging. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781351172646.

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27

Xiong, Momiao. Big Data in Omics and Imaging. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315370507.

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28

Big Data in Omics and Imaging. Taylor & Francis Group, 2021.

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29

Misra, Gauri, and Preeti Arivaradarajan. Omics Approaches, Technologies And Applications: Integrative Approaches For Understanding OMICS Data. Springer, 2019.

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30

Misra, Gauri, and Preeti Arivaradarajan. Omics Approaches, Technologies And Applications: Integrative Approaches For Understanding OMICS Data. Springer, 2019.

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31

Yan, Qi, Jiebiao Wang, and Zhonghua Liu, eds. Statistical Approaches in Omics Data Association Studies. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-362-7.

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32

Bioinformatics for omics data: Methods and protocols. New York, NY: Humana Press, 2011.

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33

Ohyanagi, Hajime, Ai Kitazumi, Kentaro Yano, and Eiji Yamamoto. Plant Omics: Advances in Big Data Biology. CABI, 2022.

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34

Mayer, Bernd. Bioinformatics for Omics Data: Methods and Protocols. Humana Press, 2016.

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35

Bioinformatics for Omics Data: Methods and Protocols. Humana Press, 2011.

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36

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

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37

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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38

Systems Analytics and Integration of Big Omics Data. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03928-745-1.

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39

Labate, Carlos Alberto, Diego Mauricio Riaño-Pachón, Glória Catarina Pinto, Paulo Mazzafera, and Luis Valledor, eds. Integration of OMICS Data to Understand Plant Metabolism. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88945-910-0.

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40

Alkhateeb, Alkhateeb. Machine Learning Methods for Multi-Omics Data Integration. Springer International Publishing AG, 2023.

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41

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

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42

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

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43

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

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44

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

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45

Ning, Kang. Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications. Springer, 2023.

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46

Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications. Springer, 2024.

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47

Mallick, Himel, Vanni Bucci, and Lingling An, eds. Statistical and Computational Methods for Microbiome Multi-Omics Data. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-091-9.

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48

Cheng, Liang, Lei Deng, and Mingxiang Teng, eds. System Biology Methods and Tools for Integrating Omics Data. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-333-0.

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49

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

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50

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

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