Multimodal (MRI, fMRI, SPECT) data integration in a case of primary progressive aphemiadoi:10.1016/S1053-8119(01)92164-0Flavio Nobili and Paolo Vitali and Umberto Raiteri and Dario Capello and Nicola Mavilio and Piero Calvini and Marta Delmonte and Marco Rosa and Guido Rodriguez...
Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study cellular diversity. Here we present MultiVI, a probabilistic model to analyze such multiomic data and leverage it t
A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data. BMC Bioinformtics 20, 527 (2019). Article Google Scholar Zhang, L. et al. Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk...
Advances in quantitative biomarker development have accelerated new forms of data-driven insights for patients with cancer. However, most approaches are limited to a single mode of data, leaving integrated approaches across modalities relatively underdeveloped. Multimodal integration of advanced molecular diag...
Integration and representation issues in the annotation of multimodal data 来自 ResearchGate 喜欢 0 阅读量: 30 作者:P Paggio,C Navarretta 摘要: Proceedings of the NODALIDA 2009 workshopMultimodal Communication — from Human Behaviour to Computational Models.Editors: Costanza Navarretta, Patrizia Paggio...
Critically, however, multi-omics experiments and assays pose considerable computational challenges, both concerning the management and processing as well as the integration of such data [4, 5]. Major challenges include efficient storage, indexing and seamless access of high-volume datasets from disk, ...
为促进道路交通前沿研究的知识分享与技术交流,MULTRA开设3个主题特刊征稿,包括与CICTP 2023合作专刊“Intelligence and Digitalization in Multimodal Transportation Systems”、特刊“Big Data and Novel Methodologies for Road Traffic Safety”、特刊...
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions The essence of precision oncology lies in its commitment to tailor targeted treatments and care measures to each patient based on the individual characteri... H Zhou,F Zhou,C Zhao,... 被引量: 0发表: 2024年 Int...
In addition, microanalysis of input signals identified sequential, simultaneous, point-and-speak, and compound integration patterns, as well as data on the temporal precedence of modes and on inter-modal lags. In synchronizing input streams, the temporal precedence of writing over speech was a ...
Harnessing multimodal data integration to advance precision oncology. Nat. Rev. Cancer 22, 114–126 (2022). Article CAS PubMed Google Scholar Li, J., Shao, J., Wang, C. & Li, W. The epidemiology and therapeutic options for the COVID-19. Precis. Clin. Med. 3, 71–84 (2020). ...