Artículos de revistas sobre el tema "Multi-omics Integration"
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Wu, Cen, Fei Zhou, Jie Ren, Xiaoxi Li, Yu Jiang y Shuangge Ma. "A Selective Review of Multi-Level Omics Data Integration Using Variable Selection". High-Throughput 8, n.º 1 (18 de enero de 2019): 4. http://dx.doi.org/10.3390/ht8010004.
Texto completoSathyanarayanan, Anita, Rohit Gupta, Erik W. Thompson, Dale R. Nyholt, Denis C. Bauer y Shivashankar H. Nagaraj. "A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping". Briefings in Bioinformatics 21, n.º 6 (27 de noviembre de 2019): 1920–36. http://dx.doi.org/10.1093/bib/bbz121.
Texto completoSubramanian, Indhupriya, Srikant Verma, Shiva Kumar, Abhay Jere y Krishanpal Anamika. "Multi-omics Data Integration, Interpretation, and Its Application". Bioinformatics and Biology Insights 14 (enero de 2020): 117793221989905. http://dx.doi.org/10.1177/1177932219899051.
Texto completoLi, Chuan-Xing, Craig E. Wheelock, C. Magnus Sköld y Åsa M. Wheelock. "Integration of multi-omics datasets enables molecular classification of COPD". European Respiratory Journal 51, n.º 5 (15 de marzo de 2018): 1701930. http://dx.doi.org/10.1183/13993003.01930-2017.
Texto completoBodein, Antoine, Marie-Pier Scott-Boyer, Olivier Perin, Kim-Anh Lê Cao y Arnaud Droit. "Interpretation of network-based integration from multi-omics longitudinal data". Nucleic Acids Research 50, n.º 5 (9 de diciembre de 2021): e27-e27. http://dx.doi.org/10.1093/nar/gkab1200.
Texto completoColomé-Tatché, M. y F. J. Theis. "Statistical single cell multi-omics integration". Current Opinion in Systems Biology 7 (febrero de 2018): 54–59. http://dx.doi.org/10.1016/j.coisb.2018.01.003.
Texto completoDuan, Ran, Lin Gao, Yong Gao, Yuxuan Hu, Han Xu, Mingfeng Huang, Kuo Song et al. "Evaluation and comparison of multi-omics data integration methods for cancer subtyping". PLOS Computational Biology 17, n.º 8 (12 de agosto de 2021): e1009224. http://dx.doi.org/10.1371/journal.pcbi.1009224.
Texto completoPinu, Farhana R., David J. Beale, Amy M. Paten, Konstantinos Kouremenos, Sanjay Swarup, Horst J. Schirra y David Wishart. "Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community". Metabolites 9, n.º 4 (18 de abril de 2019): 76. http://dx.doi.org/10.3390/metabo9040076.
Texto completoElKarami, Bashier, Abedalrhman Alkhateeb, Hazem Qattous, Lujain Alshomali y Behnam Shahrrava. "Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network". Cancer Informatics 21 (enero de 2022): 117693512211242. http://dx.doi.org/10.1177/11769351221124205.
Texto completoRappoport, Nimrod y Ron Shamir. "NEMO: cancer subtyping by integration of partial multi-omic data". Bioinformatics 35, n.º 18 (30 de enero de 2019): 3348–56. http://dx.doi.org/10.1093/bioinformatics/btz058.
Texto completoSingh, Amrit, Casey P. Shannon, Benoît Gautier, Florian Rohart, Michaël Vacher, Scott J. Tebbutt y Kim-Anh Lê Cao. "DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays". Bioinformatics 35, n.º 17 (18 de enero de 2019): 3055–62. http://dx.doi.org/10.1093/bioinformatics/bty1054.
Texto completoZhu, Yingkun, Dengpan Bu y Lu Ma. "Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research". Metabolites 12, n.º 3 (4 de marzo de 2022): 225. http://dx.doi.org/10.3390/metabo12030225.
Texto completoKhorraminezhad, Leila, Mickael Leclercq, Arnaud Droit, Jean-François Bilodeau y Iwona Rudkowska. "Statistical and Machine-Learning Analyses in Nutritional Genomics Studies". Nutrients 12, n.º 10 (14 de octubre de 2020): 3140. http://dx.doi.org/10.3390/nu12103140.
Texto completoCao, Kai, Xiangqi Bai, Yiguang Hong y Lin Wan. "Unsupervised topological alignment for single-cell multi-omics integration". Bioinformatics 36, Supplement_1 (1 de julio de 2020): i48—i56. http://dx.doi.org/10.1093/bioinformatics/btaa443.
Texto completoSharifi-Noghabi, Hossein, Olga Zolotareva, Colin C. Collins y Martin Ester. "MOLI: multi-omics late integration with deep neural networks for drug response prediction". Bioinformatics 35, n.º 14 (julio de 2019): i501—i509. http://dx.doi.org/10.1093/bioinformatics/btz318.
Texto completoEicher, Tara, Garrett Kinnebrew, Andrew Patt, Kyle Spencer, Kevin Ying, Qin Ma, Raghu Machiraju y Ewy A. Mathé. "Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources". Metabolites 10, n.º 5 (15 de mayo de 2020): 202. http://dx.doi.org/10.3390/metabo10050202.
Texto completoZarayeneh, Neda, Euiseong Ko, Jung Hun Oh, Sang Suh, Chunyu Liu, Jean Gao, Donghyun Kim y Mingon Kang. "Integration of multi-omics data for integrative gene regulatory network inference". International Journal of Data Mining and Bioinformatics 18, n.º 3 (2017): 223. http://dx.doi.org/10.1504/ijdmb.2017.087178.
Texto completoKang, Mingon, Donghyun Kim, Jean Gao, Chunyu Liu, Sang Suh, Jung Hun Oh, Neda Zarayeneh y Euiseong Ko. "Integration of multi-omics data for integrative gene regulatory network inference". International Journal of Data Mining and Bioinformatics 18, n.º 3 (2017): 223. http://dx.doi.org/10.1504/ijdmb.2017.10008266.
Texto completoPierre-Jean, Morgane, Jean-François Deleuze, Edith Le Floch y Florence Mauger. "Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration". Briefings in Bioinformatics 21, n.º 6 (3 de diciembre de 2019): 2011–30. http://dx.doi.org/10.1093/bib/bbz138.
Texto completoAdossa, Nigatu, Sofia Khan, Kalle T. Rytkönen y Laura L. Elo. "Computational strategies for single-cell multi-omics integration". Computational and Structural Biotechnology Journal 19 (2021): 2588–96. http://dx.doi.org/10.1016/j.csbj.2021.04.060.
Texto completoCharmpi, Konstantina, Manopriya Chokkalingam, Ronja Johnen y Andreas Beyer. "Optimizing network propagation for multi-omics data integration". PLOS Computational Biology 17, n.º 11 (11 de noviembre de 2021): e1009161. http://dx.doi.org/10.1371/journal.pcbi.1009161.
Texto completoMoon, Sehwan y Hyunju Lee. "JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease". Journal of Personalized Medicine 11, n.º 8 (21 de julio de 2021): 686. http://dx.doi.org/10.3390/jpm11080686.
Texto completoChen, Tyrone, Al J. Abadi, Kim-Anh Lê Cao y Sonika Tyagi. "multiomics: A user-friendly multi-omics data harmonisation R pipeline". F1000Research 10 (6 de julio de 2021): 538. http://dx.doi.org/10.12688/f1000research.53453.1.
Texto completoLi, Peng y Bo Sun. "Integration of Multi-Omics Data to Identify Cancer Biomarkers". Journal of Information Technology Research 15, n.º 1 (enero de 2022): 1–15. http://dx.doi.org/10.4018/jitr.2022010105.
Texto completoMisra, Biswapriya B., Carl Langefeld, Michael Olivier y Laura A. Cox. "Integrated omics: tools, advances and future approaches". Journal of Molecular Endocrinology 62, n.º 1 (enero de 2019): R21—R45. http://dx.doi.org/10.1530/jme-18-0055.
Texto completoXu, Chao, Ji-Gang Zhang, Dongdong Lin, Lan Zhang, Hui Shen y Hong-Wen Deng. "A Systemic Analysis of Transcriptomic and Epigenomic Data To Reveal Regulation Patterns for Complex Disease". G3 Genes|Genomes|Genetics 7, n.º 7 (1 de julio de 2017): 2271–79. http://dx.doi.org/10.1534/g3.117.042408.
Texto completoKim, Dokyoon, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie y Ju Han Kim. "Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction". Journal of the American Medical Informatics Association 22, n.º 1 (7 de julio de 2014): 109–20. http://dx.doi.org/10.1136/amiajnl-2013-002481.
Texto completoTakahashi, Satoshi, Ken Asada, Ken Takasawa, Ryo Shimoyama, Akira Sakai, Amina Bolatkan, Norio Shinkai et al. "Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data". Biomolecules 10, n.º 10 (19 de octubre de 2020): 1460. http://dx.doi.org/10.3390/biom10101460.
Texto completoVlachavas, Efstathios Iason, Jonas Bohn, Frank Ückert y Sylvia Nürnberg. "A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research". International Journal of Molecular Sciences 22, n.º 6 (10 de marzo de 2021): 2822. http://dx.doi.org/10.3390/ijms22062822.
Texto completoShi, W. Jenny, Yonghua Zhuang, Pamela H. Russell, Brian D. Hobbs, Margaret M. Parker, Peter J. Castaldi, Pratyaydipta Rudra et al. "Unsupervised discovery of phenotype-specific multi-omics networks". Bioinformatics 35, n.º 21 (8 de abril de 2019): 4336–43. http://dx.doi.org/10.1093/bioinformatics/btz226.
Texto completoLancaster, Samuel M., Akshay Sanghi, Si Wu y Michael P. Snyder. "A Customizable Analysis Flow in Integrative Multi-Omics". Biomolecules 10, n.º 12 (27 de noviembre de 2020): 1606. http://dx.doi.org/10.3390/biom10121606.
Texto completoYe, Qing y Nancy Lan Guo. "Inferencing Bulk Tumor and Single-Cell Multi-Omics Regulatory Networks for Discovery of Biomarkers and Therapeutic Targets". Cells 12, n.º 1 (26 de diciembre de 2022): 101. http://dx.doi.org/10.3390/cells12010101.
Texto completoCai, Zhaoxiang, Rebecca C. Poulos, Jia Liu y Qing Zhong. "Machine learning for multi-omics data integration in cancer". iScience 25, n.º 2 (febrero de 2022): 103798. http://dx.doi.org/10.1016/j.isci.2022.103798.
Texto completoTini, Giulia, Luca Marchetti, Corrado Priami y Marie-Pier Scott-Boyer. "Multi-omics integration—a comparison of unsupervised clustering methodologies". Briefings in Bioinformatics 20, n.º 4 (18 de diciembre de 2017): 1269–79. http://dx.doi.org/10.1093/bib/bbx167.
Texto completoWang, Qing, Kaicen Wang, Wenrui Wu, Eleni Giannoulatou, Joshua W. K. Ho y Lanjuan Li. "Host and microbiome multi-omics integration: applications and methodologies". Biophysical Reviews 11, n.º 1 (9 de enero de 2019): 55–65. http://dx.doi.org/10.1007/s12551-018-0491-7.
Texto completoZhang, Xiaoyu, Yuting Xing, Kai Sun y Yike Guo. "OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data". Cancers 13, n.º 12 (18 de junio de 2021): 3047. http://dx.doi.org/10.3390/cancers13123047.
Texto completoMadrid-Márquez, Laura, Cristina Rubio-Escudero, Beatriz Pontes, Antonio González-Pérez, José C. Riquelme y Maria E. Sáez. "MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation". Applied Sciences 12, n.º 8 (14 de abril de 2022): 3987. http://dx.doi.org/10.3390/app12083987.
Texto completoHansen, Pernille Bjarup, Anja Karine Ruud, Gustavo de los Campos, Marta Malinowska, Istvan Nagy, Simon Fiil Svane, Kristian Thorup-Kristensen, Jens Due Jensen, Lene Krusell y Torben Asp. "Integration of DNA Methylation and Transcriptome Data Improves Complex Trait Prediction in Hordeum vulgare". Plants 11, n.º 17 (24 de agosto de 2022): 2190. http://dx.doi.org/10.3390/plants11172190.
Texto completoKim, Minseung y Ilias Tagkopoulos. "Data integration and predictive modeling methods for multi-omics datasets". Molecular Omics 14, n.º 1 (2018): 8–25. http://dx.doi.org/10.1039/c7mo00051k.
Texto completoDing, Jessica, Montgomery Blencowe, Thien Nghiem, Sung-min Ha, Yen-Wei Chen, Gaoyan Li y Xia Yang. "Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics". Nucleic Acids Research 49, W1 (28 de mayo de 2021): W375—W387. http://dx.doi.org/10.1093/nar/gkab405.
Texto completoShin, Tae Hwan, Saraswathy Nithiyanandam, Da Yeon Lee, Do Hyeon Kwon, Ji Su Hwang, Seok Gi Kim, Yong Eun Jang et al. "Analysis of Nanotoxicity with Integrated Omics and Mechanobiology". Nanomaterials 11, n.º 9 (13 de septiembre de 2021): 2385. http://dx.doi.org/10.3390/nano11092385.
Texto completoZhou, Guangyan, Jessica Ewald y Jianguo Xia. "OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data". Nucleic Acids Research 49, W1 (21 de mayo de 2021): W476—W482. http://dx.doi.org/10.1093/nar/gkab394.
Texto completoFiorentino, Giuseppe, Roberto Visintainer, Enrico Domenici, Mario Lauria y Luca Marchetti. "MOUSSE: Multi-Omics Using Subject-Specific SignaturEs". Cancers 13, n.º 14 (8 de julio de 2021): 3423. http://dx.doi.org/10.3390/cancers13143423.
Texto completoCao, Zhi-Jie y Ge Gao. "Multi-omics single-cell data integration and regulatory inference with graph-linked embedding". Nature Biotechnology, 2 de mayo de 2022. http://dx.doi.org/10.1038/s41587-022-01284-4.
Texto completoYu, Catherine T., Brittany N. Chao, Rolando Barajas, Majda Haznadar, Padma Maruvada, Holly L. Nicastro, Sharon A. Ross, Mukesh Verma, Scott Rogers y Krista A. Zanetti. "An evaluation of the National Institutes of Health grants portfolio: identifying opportunities and challenges for multi-omics research that leverage metabolomics data". Metabolomics 18, n.º 5 (30 de abril de 2022). http://dx.doi.org/10.1007/s11306-022-01878-8.
Texto completoAgamah, Francis E., Jumamurat R. Bayjanov, Anna Niehues, Kelechi F. Njoku, Michelle Skelton, Gaston K. Mazandu, Thomas H. A. Ederveen, Nicola Mulder, Emile R. Chimusa y Peter A. C. 't Hoen. "Computational approaches for network-based integrative multi-omics analysis". Frontiers in Molecular Biosciences 9 (14 de noviembre de 2022). http://dx.doi.org/10.3389/fmolb.2022.967205.
Texto completoKang, Mingon, Euiseong Ko y Tesfaye B. Mersha. "A roadmap for multi-omics data integration using deep learning". Briefings in Bioinformatics 23, n.º 1 (12 de noviembre de 2021). http://dx.doi.org/10.1093/bib/bbab454.
Texto completoYang, Ying, Sha Tian, Yushan Qiu, Pu Zhao y Quan Zou. "MDICC: novel method for multi-omics data integration and cancer subtype identification". Briefings in Bioinformatics, 18 de abril de 2022. http://dx.doi.org/10.1093/bib/bbac132.
Texto completoTsagiopoulou, Maria, Nikolaos Pechlivanis, Maria Christina Maniou y Fotis Psomopoulos. "InterTADs: integration of multi-omics data on topologically associated domains, application to chronic lymphocytic leukemia". NAR Genomics and Bioinformatics 4, n.º 1 (14 de enero de 2022). http://dx.doi.org/10.1093/nargab/lqab121.
Texto completoYang, Yaodong, Mumtaz Ali Saand, Liyun Huang, Walid Badawy Abdelaal, Jun Zhang, Yi Wu, Jing Li, Muzafar Hussain Sirohi y Fuyou Wang. "Applications of Multi-Omics Technologies for Crop Improvement". Frontiers in Plant Science 12 (3 de septiembre de 2021). http://dx.doi.org/10.3389/fpls.2021.563953.
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