Статті в журналах з теми "Multi-omics Integration"
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Wu, Cen, Fei Zhou, Jie Ren, Xiaoxi Li, Yu Jiang, and Shuangge Ma. "A Selective Review of Multi-Level Omics Data Integration Using Variable Selection." High-Throughput 8, no. 1 (January 18, 2019): 4. http://dx.doi.org/10.3390/ht8010004.
Повний текст джерелаSathyanarayanan, Anita, Rohit Gupta, Erik W. Thompson, Dale R. Nyholt, Denis C. Bauer, and Shivashankar H. Nagaraj. "A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping." Briefings in Bioinformatics 21, no. 6 (November 27, 2019): 1920–36. http://dx.doi.org/10.1093/bib/bbz121.
Повний текст джерелаSubramanian, Indhupriya, Srikant Verma, Shiva Kumar, Abhay Jere, and Krishanpal Anamika. "Multi-omics Data Integration, Interpretation, and Its Application." Bioinformatics and Biology Insights 14 (January 2020): 117793221989905. http://dx.doi.org/10.1177/1177932219899051.
Повний текст джерелаLi, Chuan-Xing, Craig E. Wheelock, C. Magnus Sköld, and Åsa M. Wheelock. "Integration of multi-omics datasets enables molecular classification of COPD." European Respiratory Journal 51, no. 5 (March 15, 2018): 1701930. http://dx.doi.org/10.1183/13993003.01930-2017.
Повний текст джерелаBodein, Antoine, Marie-Pier Scott-Boyer, Olivier Perin, Kim-Anh Lê Cao, and Arnaud Droit. "Interpretation of network-based integration from multi-omics longitudinal data." Nucleic Acids Research 50, no. 5 (December 9, 2021): e27-e27. http://dx.doi.org/10.1093/nar/gkab1200.
Повний текст джерелаColomé-Tatché, M., and F. J. Theis. "Statistical single cell multi-omics integration." Current Opinion in Systems Biology 7 (February 2018): 54–59. http://dx.doi.org/10.1016/j.coisb.2018.01.003.
Повний текст джерелаDuan, 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, no. 8 (August 12, 2021): e1009224. http://dx.doi.org/10.1371/journal.pcbi.1009224.
Повний текст джерелаPinu, Farhana R., David J. Beale, Amy M. Paten, Konstantinos Kouremenos, Sanjay Swarup, Horst J. Schirra, and David Wishart. "Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community." Metabolites 9, no. 4 (April 18, 2019): 76. http://dx.doi.org/10.3390/metabo9040076.
Повний текст джерелаElKarami, Bashier, Abedalrhman Alkhateeb, Hazem Qattous, Lujain Alshomali, and Behnam Shahrrava. "Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network." Cancer Informatics 21 (January 2022): 117693512211242. http://dx.doi.org/10.1177/11769351221124205.
Повний текст джерелаRappoport, Nimrod, and Ron Shamir. "NEMO: cancer subtyping by integration of partial multi-omic data." Bioinformatics 35, no. 18 (January 30, 2019): 3348–56. http://dx.doi.org/10.1093/bioinformatics/btz058.
Повний текст джерелаSingh, Amrit, Casey P. Shannon, Benoît Gautier, Florian Rohart, Michaël Vacher, Scott J. Tebbutt, and Kim-Anh Lê Cao. "DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays." Bioinformatics 35, no. 17 (January 18, 2019): 3055–62. http://dx.doi.org/10.1093/bioinformatics/bty1054.
Повний текст джерелаZhu, Yingkun, Dengpan Bu, and Lu Ma. "Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research." Metabolites 12, no. 3 (March 4, 2022): 225. http://dx.doi.org/10.3390/metabo12030225.
Повний текст джерелаKhorraminezhad, Leila, Mickael Leclercq, Arnaud Droit, Jean-François Bilodeau, and Iwona Rudkowska. "Statistical and Machine-Learning Analyses in Nutritional Genomics Studies." Nutrients 12, no. 10 (October 14, 2020): 3140. http://dx.doi.org/10.3390/nu12103140.
Повний текст джерелаCao, Kai, Xiangqi Bai, Yiguang Hong, and Lin Wan. "Unsupervised topological alignment for single-cell multi-omics integration." Bioinformatics 36, Supplement_1 (July 1, 2020): i48—i56. http://dx.doi.org/10.1093/bioinformatics/btaa443.
Повний текст джерелаSharifi-Noghabi, Hossein, Olga Zolotareva, Colin C. Collins, and Martin Ester. "MOLI: multi-omics late integration with deep neural networks for drug response prediction." Bioinformatics 35, no. 14 (July 2019): i501—i509. http://dx.doi.org/10.1093/bioinformatics/btz318.
Повний текст джерелаEicher, Tara, Garrett Kinnebrew, Andrew Patt, Kyle Spencer, Kevin Ying, Qin Ma, Raghu Machiraju, and Ewy A. Mathé. "Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources." Metabolites 10, no. 5 (May 15, 2020): 202. http://dx.doi.org/10.3390/metabo10050202.
Повний текст джерелаZarayeneh, Neda, Euiseong Ko, Jung Hun Oh, Sang Suh, Chunyu Liu, Jean Gao, Donghyun Kim, and Mingon Kang. "Integration of multi-omics data for integrative gene regulatory network inference." International Journal of Data Mining and Bioinformatics 18, no. 3 (2017): 223. http://dx.doi.org/10.1504/ijdmb.2017.087178.
Повний текст джерелаKang, Mingon, Donghyun Kim, Jean Gao, Chunyu Liu, Sang Suh, Jung Hun Oh, Neda Zarayeneh, and Euiseong Ko. "Integration of multi-omics data for integrative gene regulatory network inference." International Journal of Data Mining and Bioinformatics 18, no. 3 (2017): 223. http://dx.doi.org/10.1504/ijdmb.2017.10008266.
Повний текст джерелаPierre-Jean, Morgane, Jean-François Deleuze, Edith Le Floch, and Florence Mauger. "Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration." Briefings in Bioinformatics 21, no. 6 (December 3, 2019): 2011–30. http://dx.doi.org/10.1093/bib/bbz138.
Повний текст джерелаAdossa, Nigatu, Sofia Khan, Kalle T. Rytkönen, and 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.
Повний текст джерелаCharmpi, Konstantina, Manopriya Chokkalingam, Ronja Johnen, and Andreas Beyer. "Optimizing network propagation for multi-omics data integration." PLOS Computational Biology 17, no. 11 (November 11, 2021): e1009161. http://dx.doi.org/10.1371/journal.pcbi.1009161.
Повний текст джерелаMoon, Sehwan, and 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, no. 8 (July 21, 2021): 686. http://dx.doi.org/10.3390/jpm11080686.
Повний текст джерелаChen, Tyrone, Al J. Abadi, Kim-Anh Lê Cao, and Sonika Tyagi. "multiomics: A user-friendly multi-omics data harmonisation R pipeline." F1000Research 10 (July 6, 2021): 538. http://dx.doi.org/10.12688/f1000research.53453.1.
Повний текст джерелаLi, Peng, and Bo Sun. "Integration of Multi-Omics Data to Identify Cancer Biomarkers." Journal of Information Technology Research 15, no. 1 (January 2022): 1–15. http://dx.doi.org/10.4018/jitr.2022010105.
Повний текст джерелаMisra, Biswapriya B., Carl Langefeld, Michael Olivier, and Laura A. Cox. "Integrated omics: tools, advances and future approaches." Journal of Molecular Endocrinology 62, no. 1 (January 2019): R21—R45. http://dx.doi.org/10.1530/jme-18-0055.
Повний текст джерелаXu, Chao, Ji-Gang Zhang, Dongdong Lin, Lan Zhang, Hui Shen, and Hong-Wen Deng. "A Systemic Analysis of Transcriptomic and Epigenomic Data To Reveal Regulation Patterns for Complex Disease." G3 Genes|Genomes|Genetics 7, no. 7 (July 1, 2017): 2271–79. http://dx.doi.org/10.1534/g3.117.042408.
Повний текст джерелаKim, Dokyoon, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, and 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, no. 1 (July 7, 2014): 109–20. http://dx.doi.org/10.1136/amiajnl-2013-002481.
Повний текст джерелаTakahashi, 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, no. 10 (October 19, 2020): 1460. http://dx.doi.org/10.3390/biom10101460.
Повний текст джерелаVlachavas, Efstathios Iason, Jonas Bohn, Frank Ückert, and 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, no. 6 (March 10, 2021): 2822. http://dx.doi.org/10.3390/ijms22062822.
Повний текст джерелаShi, 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, no. 21 (April 8, 2019): 4336–43. http://dx.doi.org/10.1093/bioinformatics/btz226.
Повний текст джерелаLancaster, Samuel M., Akshay Sanghi, Si Wu, and Michael P. Snyder. "A Customizable Analysis Flow in Integrative Multi-Omics." Biomolecules 10, no. 12 (November 27, 2020): 1606. http://dx.doi.org/10.3390/biom10121606.
Повний текст джерелаYe, Qing, and Nancy Lan Guo. "Inferencing Bulk Tumor and Single-Cell Multi-Omics Regulatory Networks for Discovery of Biomarkers and Therapeutic Targets." Cells 12, no. 1 (December 26, 2022): 101. http://dx.doi.org/10.3390/cells12010101.
Повний текст джерелаCai, Zhaoxiang, Rebecca C. Poulos, Jia Liu, and Qing Zhong. "Machine learning for multi-omics data integration in cancer." iScience 25, no. 2 (February 2022): 103798. http://dx.doi.org/10.1016/j.isci.2022.103798.
Повний текст джерелаTini, Giulia, Luca Marchetti, Corrado Priami, and Marie-Pier Scott-Boyer. "Multi-omics integration—a comparison of unsupervised clustering methodologies." Briefings in Bioinformatics 20, no. 4 (December 18, 2017): 1269–79. http://dx.doi.org/10.1093/bib/bbx167.
Повний текст джерелаWang, Qing, Kaicen Wang, Wenrui Wu, Eleni Giannoulatou, Joshua W. K. Ho, and Lanjuan Li. "Host and microbiome multi-omics integration: applications and methodologies." Biophysical Reviews 11, no. 1 (January 9, 2019): 55–65. http://dx.doi.org/10.1007/s12551-018-0491-7.
Повний текст джерелаZhang, Xiaoyu, Yuting Xing, Kai Sun, and Yike Guo. "OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data." Cancers 13, no. 12 (June 18, 2021): 3047. http://dx.doi.org/10.3390/cancers13123047.
Повний текст джерелаMadrid-Márquez, Laura, Cristina Rubio-Escudero, Beatriz Pontes, Antonio González-Pérez, José C. Riquelme, and Maria E. Sáez. "MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation." Applied Sciences 12, no. 8 (April 14, 2022): 3987. http://dx.doi.org/10.3390/app12083987.
Повний текст джерелаHansen, Pernille Bjarup, Anja Karine Ruud, Gustavo de los Campos, Marta Malinowska, Istvan Nagy, Simon Fiil Svane, Kristian Thorup-Kristensen, Jens Due Jensen, Lene Krusell, and Torben Asp. "Integration of DNA Methylation and Transcriptome Data Improves Complex Trait Prediction in Hordeum vulgare." Plants 11, no. 17 (August 24, 2022): 2190. http://dx.doi.org/10.3390/plants11172190.
Повний текст джерелаKim, Minseung, and Ilias Tagkopoulos. "Data integration and predictive modeling methods for multi-omics datasets." Molecular Omics 14, no. 1 (2018): 8–25. http://dx.doi.org/10.1039/c7mo00051k.
Повний текст джерелаDing, Jessica, Montgomery Blencowe, Thien Nghiem, Sung-min Ha, Yen-Wei Chen, Gaoyan Li, and 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 (May 28, 2021): W375—W387. http://dx.doi.org/10.1093/nar/gkab405.
Повний текст джерелаShin, 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, no. 9 (September 13, 2021): 2385. http://dx.doi.org/10.3390/nano11092385.
Повний текст джерелаZhou, Guangyan, Jessica Ewald, and Jianguo Xia. "OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data." Nucleic Acids Research 49, W1 (May 21, 2021): W476—W482. http://dx.doi.org/10.1093/nar/gkab394.
Повний текст джерелаFiorentino, Giuseppe, Roberto Visintainer, Enrico Domenici, Mario Lauria, and Luca Marchetti. "MOUSSE: Multi-Omics Using Subject-Specific SignaturEs." Cancers 13, no. 14 (July 8, 2021): 3423. http://dx.doi.org/10.3390/cancers13143423.
Повний текст джерелаCao, Zhi-Jie, and Ge Gao. "Multi-omics single-cell data integration and regulatory inference with graph-linked embedding." Nature Biotechnology, May 2, 2022. http://dx.doi.org/10.1038/s41587-022-01284-4.
Повний текст джерелаYu, Catherine T., Brittany N. Chao, Rolando Barajas, Majda Haznadar, Padma Maruvada, Holly L. Nicastro, Sharon A. Ross, Mukesh Verma, Scott Rogers, and 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, no. 5 (April 30, 2022). http://dx.doi.org/10.1007/s11306-022-01878-8.
Повний текст джерелаAgamah, Francis E., Jumamurat R. Bayjanov, Anna Niehues, Kelechi F. Njoku, Michelle Skelton, Gaston K. Mazandu, Thomas H. A. Ederveen, Nicola Mulder, Emile R. Chimusa, and Peter A. C. 't Hoen. "Computational approaches for network-based integrative multi-omics analysis." Frontiers in Molecular Biosciences 9 (November 14, 2022). http://dx.doi.org/10.3389/fmolb.2022.967205.
Повний текст джерелаKang, Mingon, Euiseong Ko, and Tesfaye B. Mersha. "A roadmap for multi-omics data integration using deep learning." Briefings in Bioinformatics 23, no. 1 (November 12, 2021). http://dx.doi.org/10.1093/bib/bbab454.
Повний текст джерелаYang, Ying, Sha Tian, Yushan Qiu, Pu Zhao, and Quan Zou. "MDICC: novel method for multi-omics data integration and cancer subtype identification." Briefings in Bioinformatics, April 18, 2022. http://dx.doi.org/10.1093/bib/bbac132.
Повний текст джерелаTsagiopoulou, Maria, Nikolaos Pechlivanis, Maria Christina Maniou, and Fotis Psomopoulos. "InterTADs: integration of multi-omics data on topologically associated domains, application to chronic lymphocytic leukemia." NAR Genomics and Bioinformatics 4, no. 1 (January 14, 2022). http://dx.doi.org/10.1093/nargab/lqab121.
Повний текст джерелаYang, Yaodong, Mumtaz Ali Saand, Liyun Huang, Walid Badawy Abdelaal, Jun Zhang, Yi Wu, Jing Li, Muzafar Hussain Sirohi, and Fuyou Wang. "Applications of Multi-Omics Technologies for Crop Improvement." Frontiers in Plant Science 12 (September 3, 2021). http://dx.doi.org/10.3389/fpls.2021.563953.
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