Concepedia

Multi-modal Phenotype Discovery

Multi-Modal Phenotype Discovery is a computational framework in unsupervised phenotype discovery that integrates heterogeneous data types—such as genomic, imaging, and clinical measurements—across multiple modalities to identify latent patient subgroups by leveraging cross-modal complementarity and coherence, thereby distinguishing itself from unimodal approaches through its explicit modeling of joint, multimodal biological and clinical signatures.

13

Publications

517

Citations

91

Authors

56

Institutions

Publications per year

2017–2026

11

Parents

Publications

13

Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation

Xia Shen, Lucija Klarić, Sodbo Sharapov et al. · Nature Communications · 2017 · 105 citations · Full text

, , +16

Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci

Marzia A. Scelsi, Raiyan R. Khan, Marco Lorenzi et al. · Brain · 2018 · 78 citations · Full text

, , +17

A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data

Nam D. Nguyen, Jiawei Huang, Daifeng Wang · Nature Computational Science · 2022 · 47 citations · Full text

, , +14

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics

Lei Du, Kefei Liu, Xiaohui Yao et al. · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2019 · 46 citations · Full text

, , +17

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method

Lei Du, Fang Liu, Kefei Liu et al. · IEEE Transactions on Medical Imaging · 2020 · 44 citations · Full text

, , +17

1–5 of 13

Authors

91

  1. LS
    Li Shen

    Indiana University – Purdue University Indianapolis, United States

    3 publications · 107 citations

    3

    h-index

  2. DW
    Daifeng Wang

    University of Wisconsin–Madison, United States

    2 publications · 86 citations

    2

    h-index

  3. KL
    Kefei Liu

    University of Pennsylvania, United States

    2 publications · 90 citations

    2

    h-index

  4. AJ
    Andrew J. Saykin

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 90 citations

    2

    h-index

  5. SL
    Shannon L. Risacher

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 91

Institutions

56

  1. University of Pennsylvania

    Philadelphia, United States

    3 h-index

    7 publications

    287 citations

  2. University of Wisconsin–Madison

    Madison, United States

    2 h-index

    9 publications

    375 citations

  3. Indiana University – Purdue University Indianapolis

    Indianapolis, United States

    2 h-index

    4 publications

    180 citations

  4. Northwestern Polytechnical University

    Xi'an, China

    2 h-index

    6 publications

    270 citations

  5. National Hospital for Neurology and Neurosurgery

    London, United Kingdom

    1 h-index

    1 publications

    78 citations

  6. UK Dementia Research Institute

    London, United Kingdom

    1 h-index

    1 publications

    78 citations

  7. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    3 publications

    51 citations

  8. Columbia University

    New York, United States

    1 h-index

    1 publications

    24 citations

1–8 of 56

Venues

  1. IEEE Transactions on Medical Imaging

    3 publications · 90 citations

    3

    h-index

  2. Scientific Reports

    2 publications · 56 citations

    2

    h-index

  3. 2

    h-index

  4. Genome Medicine

    1 publications · 39 citations

    1

    h-index

  5. Nature Computational Science

    1 publications · 47 citations

    1

    h-index

1–5