Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics, Volume II

  • 5,786

    Total Downloads

  • 21k

    Total Views and Downloads

Submit your idea

Select the journal/section where you want your idea to be submitted:

Submit your manuscript summarySubmit your manuscript

About this Research Topic

Submission closed

Background

The development of high throughput omics technologies has enabled accurate measurement of multiple modalities simultaneously in individual studies or multi-omics integration from different studies, and rapid data accumulation in multimodal omics, including genomics, transcriptomics, proteomics, metabolomics, phenomics, radiomics and the cutting-edge 3D spatial omics, single-cell omics. These provide an unparalleled opportunity for knowledge discovery in intractable diseases, such as the discovery of biomarkers, functional modules, causal pathways and regulatory networks, etc., which have great potential to bolster the therapeutic pipelines.

Traditional statistical methods have been successfully applied to incorporate multi-omic datasets, such as genome-wide association studies (GWAS), molecular quantitative trait loci (QTL) analysis, and summarized Mendelian Randomization. However, limited pre-defined modalities have restricted the flexibility of available omics data, and the ability to incorporate different types of features of existing methods is still insufficient, which both decrease the power in knowledge discovery. Considering these aspects, advanced data mining, statistical and machine learning methods are urgently needed to perform cross-modal data integration and modeling.

In the first volume, we collected insights on statistical methods and applications for integrating multimodal omics data, machine learning methods of feature representation for multimodal omics, database and web tools for depositing and visualizing disease-related knowledge discovered based on multimodal omics, as well as identification of molecular biomarkers for complex diseases.

With this Volume II Research Topic we aim to build on the knowledge acquired in the first volume. We aim to further investigate the computational methods integrating multimodal data for disease and other traits exploration. Especially, we want to expand the scope of the investigated data modalities. We also would like to attract studies using Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) to investigate neurodegenerative diseases, affective disorders, cognitive disorders and emotion recognition.

Topics of interest include but are not limited to:

(1) Computational methods investigating neurodegenerative diseases and other brain disorders based on EEG/fMRI data.

(2) Affective computing based on EEG/fMRI data.

(3) Methods and discoveries based on the integration of EEG/fMRI data and omics data.

(4) Statistical methods and applications for integrating multimodal omics data.

(5) Machine learning methods of feature representation for multimodal omics.

(6) Graph-based deep learning methods for disease-related node/linkage prediction.

(7) Identification of molecular biomarkers for complex diseases.

(8) Disease-related module identification and validation through integrating multimodal omics data.

(9) Database and web tools for depositing and visualizing disease-related knowledge discovered based on multimodal omics.

(10) Causal inference between exposure factors and important traits or diseases based statistical methods and machine learning methods.

Keywords: Knowledge discovery, Diseases, Multimodal omics, Data mining methods, Statistical methods, EEG, fMRI, Affective Computing, Brain Diseases

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Topic editors

Frequently asked questions

  • Frontiers' Research Topics are collaborative hubs built around an emerging theme.Defined, managed, and led by renowned researchers, they bring communities together around a shared area of interest to stimulate collaboration and innovation.

    Unlike section journals, which serve established specialty communities, Research Topics are pioneer hubs, responding to the evolving scientific landscape and catering to new communities.

  • The goal of Frontiers' publishing program is to empower research communities to actively steer the course of scientific publishing. Our program was implemented as a three-part unit with fixed field journals, flexible specialty sections, and dynamically emerging Research Topics, connecting communities of different sizes and maturity.

    Research Topics originate from the scientific community. Many of our Research Topics are suggested by existing editorial board members who have identified critical challenges or areas of interest in their field.

  • As an editor, Research Topics will help you build your journal, as well as your community, around emerging, cutting-edge research. As research trailblazers, Research Topics attract high-quality submissions from leading experts all over the world.

    A thriving Research Topic can potentially evolve into a new specialty section if there is sustained interest and a growing community around it.

  • Each Research Topic must be approved by the specialty chief editor, and they fall under the editorial oversight of our editorial boards, supported by our in-house research integrity team. The same standards and rigorous peer review processes apply to articles published as part of a Research Topic as for any other article we publish.

      In 2023, 80% of the Research Topics we published were edited or co-edited by our editorial board members, who are already familiar with their journal's scope, ethos, and publishing model. All other topics are guest edited by leaders in their field, each vetted and formally approved by the specialty chief editor.

  • Publishing your article within a Research Topic with other related articles increases its discoverability and visibility, which can lead to more views, downloads, and citations. Research Topics grow dynamically as more published articles are added, causing frequent revisiting, and further visibility.

    As Research Topics are multidisciplinary, they are cross-listed in several fields and section journals – increasing your reach even more and giving you the chance to expand your network and collaborate with researchers in different fields, all focusing on expanding knowledge around the same important topic.

    Our larger Research Topics are also converted into ebooks and receive social media promotion from our digital marketing team.

     

  • Frontiers offers multiple article types, but it will depend on the field and section journals in which the Research Topic will be featured. The available article types for a Research Topic will appear in the drop-down menu during the submission process.

    Check available article types here 

  • Yes, we would love to hear your ideas for a topic. Most of our Research Topics are community-led and suggested by researchers in the field. Our in-house editorial team will contact you to talk about your idea and whether you’d like to edit the topic. If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. 

    Suggest your topic here 

  • A team of guest editors (called topic editors) lead their Research Topic. This editorial team oversees the entire process, from the initial topic proposal to calls for participation, the peer review, and final publications.

    The team may also include topic coordinators, who help the topic editors send calls for participation, liaise with topic editors on abstracts, and support contributing authors. In some cases, they can also be assigned as reviewers.

  • As a topic editor (TE), you will take the lead on all editorial decisions for the Research Topic, starting with defining its scope. This allows you to curate research around a topic that interests you, bring together different perspectives from leading researchers across different fields and shape the future of your field. 

     

    You will choose your team of co-editors, curate a list of potential authors, send calls for participation and oversee the peer review process, accepting or recommending rejection for each manuscript submitted.

  • As a topic editor, you're supported at every stage by our in-house team. You will be assigned a single point of contact to help you on both editorial and technical matters. Your topic is managed through our user-friendly online platform, and the peer review process is supported by our industry-first AI review assistant (AIRA).

  • If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. This provides you with valuable editorial experience, improving your ability to critically evaluate research articles and enhancing your understanding of the quality standards and requirements for scientific publishing, as well as the opportunity to discover new research in your field, and expand your professional network.

  • Yes, certificates can be issued on request. We are happy to provide a certificate for your contribution to editing a successful Research Topic.

  • Research Topics thrive on collaboration and their multi-disciplinary approach around emerging, cutting-edge themes, attract leading researchers from all over the world.

  • As a topic editor, you can set the timeline for your Research Topic, and we will work with you at your pace. Typically, Research Topics are online and open for submissions within a few weeks and remain open for participation for 6 – 12 months. Individual articles within a Research Topic are published as soon as they are ready.

    Find out more about our Research Topics

  • Our fee support program ensures that all articles that pass peer review, including those published in Research Topics, can benefit from open access – regardless of the author's field or funding situation.

    Authors and institutions with insufficient funding can apply for a discount on their publishing fees. A fee support application form is available on our website.

  • In line with our mission to promote healthy lives on a healthy planet, we do not provide printed materials. All our articles and ebooks are available under a CC-BY license, so you can share and print copies.

     

Participating Journals

Impact

  • 21kTopic views
  • 14kArticle views
  • 5,786Article downloads
View impact