Cancer molecular subtyping using limited multi-omics data with missingness. by Yongqi Bu, Jiaxuan Liang, Zhen Li, Jianbo Wang, Jun Wang, Guoxian Yu

“…Diagnosing cancer subtypes is a prerequisite for precise treatment. Existing multi-omics data fusion-based diagnostic solutions build on the requisite of sufficient samples with complete multi-omics data, which is challenging to obtain in clinical applications. …”
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Exploring the intricacies of plant growth promoting rhizobacteria interactions: an omics review by Kamogelo Mmotla, Nompumelelo R. Sibanyoni, Farhahna Allie, Lungile Sitole, Thendo Mafuna, Manamele D. Mashabela, Msizi I. Mhlongo

“…Additionally, we assess the cutting-edge omics technologies currently available to study these intricate processes. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“… The increasing complexity of biological systems demands advanced analytical approaches to decode the underlying mechanisms of health and disease. Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis by Hua Guo, Jinyang Gao, Liping Gong, Yanqing Wang

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Advances in the application of multi-omics and machine learning technologies in sepsis research by Chen Pengpeng, Yang Jie, Jin Xinhao, Zhang Bo, Yang Suibi, Hong Yucai, Ni Hongying, Zhang Zhongheng

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DRomics, a workflow to exploit dose-response omics data in ecotoxicology by Delignette-Muller, Marie Laure, Siberchicot, Aurélie, Larras, Floriane, Billoir, Elise

“…Omics technologies has opened new possibilities to assess environmental risks and to understand the mode(s) of action of pollutants. …”
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Mycoparasitic transcription factor 1 (BcMTF1) participates in the Botrytis cinerea response against Trichoderma atroviride by Consuelo Olivares-Yañez, Nicolas Arias-Inostroza, Ruben Polanco, Paulo Canessa

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Advances in modeling cellular state dynamics: integrating omics data and predictive techniques by Sungwon Jung

“…We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions. …”
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Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools by Michael C. Sierant, Jungmin Choi

“…Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. …”
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Investigation of the Molecular Mechanism of Asthma in Meishan Pigs Using Multi-Omics Analysis by Weilong Tu, Hongyang Wang, Yingying Zhang, Ji Huang, Yuduan Diao, Jieke Zhou, Yongsong Tan, Xin Li

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LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

“…Combining gene expression data with other types of omics data has been reported by numerous works to improve cancer classification outcomes. …”
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Multi-omics dataset of individual variations in growth performance of large yellow croaker by Hao Huang, Zhenheng Cheng, Yabing Wang, Guangde Qiao, Xiaoshan Wang, Yanfeng Yue, Quanxin Gao, Shiming Peng

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Integrated omics profiling of individual variations in intestinal damage to the soybean allergen in piglets by Mengmeng Mi, Yaqing Zheng, Xin Fu, Nan Bao, Li Pan, Guixin Qin, Yuan Zhao

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Predictive nomogram integrating radiomics and multi‐omics for improved prognosis‐model in cholangiocarcinoma by Yunlu Jia, Mingyu Wan, Yifei Shen, Junli Wang, Xiao Luo, Mengye He, Ruiliang Bai, Wenbo Xiao, Xiaochen Zhang, Jian Ruan

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Omics technologies in oral oncology: Integrative approaches for biomarker discovery and therapeutic insights by S. Umamaheswari

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Advancing Insights into Large-Artery Stiffening in Humans Through the Application of Multi-omics by Marie-Joe Dib

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Multi-omic spatial effects on high-resolution AI-derived retinal thickness by V. E. Jackson, Y. Wu, R. Bonelli, J. P. Owen, L. W. Scott, S. Farashi, Y. Kihara, M. L. Gantner, C. Egan, K. M. Williams, B. R. E. Ansell, A. Tufail, A. Y. Lee, M. Bahlo

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A practical guide to FAIR data management in the age of multi-OMICS and AI by Douaa Mugahid, Jared Lyon, Charlie Demurjian, Nathan Eolin, Charlie Whittaker, Mark Godek, Douglas Lauffenburger, Sarah Fortune, Stuart Levine

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Mapping naturally presented T cell antigens in medulloblastoma based on integrative multi-omics by Julia Velz, Lena K. Freudenmann, Gioele Medici, Marissa Dubbelaar, Malte Mohme, David R. Ghasemi, Jonas Scheid, Daniel J. Kowalewski, Angelica B. Patterson, Anna M. Zeitlberger, Katrin Lamszus, Manfred Westphal, Matthias Eyrich, Martina Messing-Jünger, Andreas Röhrig, Harald Reinhard, Kévin Beccaria, Rogeiro B. Craveiro, Beat M. Frey, Martin Sill, Sven Nahnsen, Marie Gauder, Konstantina Kapolou, Manuela Silginer, Tobias Weiss, Hans-Georg Wirsching, Patrick Roth, Michael Grotzer, Niklaus Krayenbühl, Oliver Bozinov, Luca Regli, Hans-Georg Rammensee, Elisabeth J. Rushing, Felix Sahm, Juliane S. Walz, Michael Weller, Marian C. Neidert

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Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications by Dongdong Duan, Mingyu Wang, Jinyi Han, Mengyu Li, Zhenyu Wang, Shenping Zhou, Wenshui Xin, Xinjian Li, Xinjian Li

Subjects: “…multi-omics integrated analysis…”
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