Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases

Marbach, Daniel, Lamparter, David, Quon, Gerald, Kellis, Manolis, Kutalik, Zoltán, Bergmann, Sven·2016·Nature Methods
DOI 10.1038/nmeth.3799

Cited by (346)

Items 201–300 of 346

  1. Accurate differential analysis of transcription factor activity from gene expression
    Viren R. Amin, Didem Ağaç Çobanoğlu, Spencer D. Barnes, Murat Can Çobanoğlu · 2019 · Bioinformatics
  2. Characterizing the targets of transcription regulators by aggregating ChIP-seq and perturbation expression data sets
    Alexander M. Morin, Eric Ching-Pan Chu, Aman Sharma, Alexander Adrian-Hamazaki, Paul Pavlidis · 2023 · Genome Research
  3. Functional insights into dispensable genes using genome-wide loss-of-function burden tests in Arabidopsis
    Kehan Zhao, Mariele Lensink, J. Grey Monroe · 2026 · The Plant Cell
  4. Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer
    JungHo Kong, Jin-Ho Kim, Donghyo Kim, Kwanghwan Lee, Juhun Lee, Seong Kyu Han, Inhae Kim, Seongsu Lim, Minhyuk Park, Seung‐Ho Shin et al. · 2023 · Patterns
  5. Cellular network perturbations by disease-associated variants
    Jared Allan Sewell, Juan I. Fuxman Bass · 2017 · Current Opinion in Systems Biology
  6. Different Biological Pathways Between Good and Poor Inhaled Corticosteroid Responses in Asthma
    Byung‐Keun Kim, Hyun Seung Lee, Suh‐Young Lee, Heung‐Woo Park · 2021 · Frontiers in Medicine
  7. Identification of Biomarker in Brain-specific Gene Regulatory Network Using Structural Controllability Analysis
    Zhihua Chen, Siyuan Chen, Xiaoli Qiang · 2022 · Frontiers in Bioinformatics
  8. Network-Based Approach to Repurpose Approved Drugs for COVID-19 by Integrating GWAS and Text Mining Data
    Shuang Liang, Hui Li, Danyang Liu, Wan‐Qiang Lv, Shengran Wang, Jiachen Liu, Jonathan Greenbaum, Hui Shen, Hong‐Mei Xiao, Hong‐Wen Deng · 2022 · Processes
  9. How network-based approaches can complement gene identification studies in frontotemporal dementia
    Cemile Koçoğlu, Christine Van Broeckhoven, Julie van der Zee · 2022 · Trends in Genetics
  10. Optimized network based natural language processing approach to reveal disease comorbidities in COVID-19
    Emre Taylan Duman, Gizem Tuna, Enes Ak, Gülben Avşar, Pınar Pir · 2024 · Scientific Reports
  11. Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single‐Cell Transcriptomic Data with MetaTF
    Yongfei Hu, Yuanyuan Zhu, Guangjue Tang, Ming Shan, Puwen Tan, Ying Yi, Xiyuan Zhang, Man Liu, Xinyu Li, Le Wu et al. · 2025 · Advanced Science
  12. Identification of key transcription factors in preeclampsia
    Junhu Wang, Huijie Liu, Yunxia Guo, Chunxiao Zhou, Tingting Qi · 2019 · Hypertension in Pregnancy
  13. Inferring gene regulatory network from single-cell transcriptomic data by integrating multiple prior networks
    Yanglan Gan, Yongchang Xin, Xin Hu, Guobing Zou · 2021 · Computational Biology and Chemistry
  14. A global view of regulatory networks
    Linda Koch · 2016 · Nature Reviews Genetics
  15. Promoter/enhancer-based controllability of regulatory networks
    Prajwal Devkota, Stefan Wuchty · 2022 · Scientific Reports
  16. Improving reusability along the data life cycle: a regulatory circuits case study
    Marine Louarn, Fabrice Chatonnet, Xavier Garnier, Thierry Fest, Anne Siegel, Catherine Faron Zucker, Olivier Dameron · 2022 · Journal of Biomedical Semantics
  17. Protein interaction network analysis reveals genetic enrichment of immune system genes in frontotemporal dementia
    Cemile Koçoğlu, Raffaele Ferrari, Maxime Roes, Geert Vandeweyer, R. Frank Kooy, Christine Van Broeckhoven, Claudia Manzoni, Julie van der Zee · 2022 · Neurobiology of Aging
  18. Comorbidity genetic risk and pathways impact SARS-CoV-2 infection outcomes
    Rachel K. Jaros, Tayaza Fadason, David Cameron‐Smith, Evgeniia Golovina, Justin Martin O'Sullivan · 2022 · Research Square
  19. Gene-Embedded Multi-Modal Networks for Population-Scale Multi-Omics Discovery
    Vaha Akbary Moghaddam, Sandeep Acharya, Michaela Schwaiger-Haber, Shu Liao, Wooseok J. Jung, Bharat Thyagarajan, Leah P. Shriver, E. Warwick Daw, Nancy L. Saccone, Ping An et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  20. Chromatin accessibility landscapes define stromal cell identities across tissues
    Amin Nooranikhojasteh, Ghazaleh Tavallaee, Nicholas Khuu, Shu Yi Shen, Shaida Ouladan, Ayush Raman, Elias Orouji · 2026 · Communications Biology
  21. METANet: a supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks
    Wooseok J Jung, Sandeep Acharya, Daniel P. Ruskin, Shu Liao, Vaha Akbary Moghaddam, Zolboo Erdenebaatar, Michael R. Brent · 2026 · Bioinformatics
  22. TREAP: A New Topological Approach to Drug Target Inference
    Muying Wang, Lauren L. Luciani, Heeju Noh, Ericka Mochan, Jason E. Shoemaker · 2020 · Biophysical Journal
  23. DeltaNeTS+: elucidating the mechanism of drugs and diseases using gene expression and transcriptional regulatory networks
    Heeju Noh, Ziyi Hua, Panagiotis Chrysinas, Jason E. Shoemaker, Rudiyanto Gunawan · 2021 · BMC Bioinformatics
  24. Bioinformatics network analyses of growth differentiation factor 11
    Feng Zhang, Xia Yang, Zhijun Bao · 2022 · Open Life Sciences
  25. Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks
    Prabal Chhibbar, Priyamvada Guha Roy, Munesh Kumar Harioudh, Daniel James McGrail, Donghui Yang, Harinder Singh, Reinhard Hinterleitner, Yi‐Nan Gong, S. Stephen Yi, Nidhi Sahni et al. · 2024 · Cell Reports
  26. Regulatory Genomic Circuitry of Brain Age by Integrative Functional Genomic Analyses
    Xingzhong Zhao, Anyi Yang, Jing Ding, Yucheng Yang, Xing‐Ming Zhao · 2025 · Genomics Proteomics & Bioinformatics
  27. Findings from the Section on Bioinformatics and Translational Informatics
    Hélène Dauchel, Thierry Lecroq B · 2016 · Yearbook of Medical Informatics
  28. Reconstructing context-specific gene regulatory network and identifying modules and network rewiring through data integration
    Tianle Ma, Aidong Zhang · 2017 · Methods
  29. An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity
    Raghvendra Mall, Ehsan Ullah, Khalid B. Kunji, Halima Bensmail, Michele Ceccarelli · 2017 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  30. Exploring induced pluripotency in human fibroblasts via construction, validation, and application of a gene regulatory network
    Mehdi Bagheri Hamaneh, Yi‐Kuo Yu · 2019 · PLoS ONE
  31. Methods in epigenetics-based systems biology and their applications
    Sascha Jung, Muhammad Ali, Antonio del Sol · 2020 · Elsevier eBooks
  32. Alterations in oligodendrocyte transcriptional networks reveal region-specific vulnerabilities to neurological disease
    Dario Tommasini, Rachel G. Fox, Kathie J. Ngo, Jason D. Hinman, Brent L. Fogel · 2023 · iScience
  33. Distinct molecular processes in placentae involved in two major subtypes of preeclampsia
    Zhonglu Ren, Yunfei Gao, Yue Gao, Guanmei Liang, Qian Chen, Sijia Jiang, Xiaoxue Yang, Cui-Xia Fan, Haizhen Wang, Jing Wang et al. · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  34. Network Insights into Improving Drug Target Inference Algorithms
    Muying Wang, Heeju Noh, Ericka Mochan, Jason E. Shoemaker · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  35. CrossTx: Cross-Cell-Line Transcriptomic Signature Predictions
    Panagiotis Chrysinas, Changyou Chen, Rudiyanto Gunawan · 2024 · Processes
  36. Pan-Cancer Drug Response Prediction Using Integrative Principal Component Regression
    Qingzhi Liu, Gen Li, Veerabhadran Baladandayuthapani · 2024 · Statistics in Biosciences
  37. Control signature of nodes in biological networks
    Bingbo Wang, Yaoqi Shou, Mingjie Zhang, Haiyan Jin, Lin Gao · 2025 · Physica A Statistical Mechanics and its Applications
  38. Identification of comprehensive genetic factors, pathways, and shared genetic architecture of putamen volume in adolescent cohort
    Abanish Singh, Jonathan E. Posner · 2026 · Translational Psychiatry
  39. Heterogeneity of acute myeloid leukemia patients explored through single-cell and single-sample gene regulatory networks.
    Leandro Fernandes, E. Saccenti · 2025 · Biochimica et Biophysica Acta. Gene Regulatory Mechanisms
  40. Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues
    Ozvan Bocher, Ana Luiza Arruda, Satoshi Yoshiji, Chi Zhao, Alicia Huerta‐Chagoya, Chen‐Yang Su, Xianyong Yin, Davis Cammann, Henry J. Taylor, Jingchun Chen et al. · 2026 · Nature Metabolism
  41. Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P -values to identify significant genes missed by standard methods
    Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J. Jung, Yu Sung Kang, Shu Liao, Michael A. Province, Michael R. Brent · 2026 · Briefings in Bioinformatics
  42. Perinatal brain developmental transition revealed by transcriptomic and proteomic analyses of Bama miniature pigs
    Zheng Wang, Fan Chu, Xing Wang, Song Li, Yingjie Gao, Xia Feng, Yixiang Li, Menghan Li, Yao-Yi Wang, Kunhao Mei et al. · 2026 · Nature Communications
  43. Findings from the Section on Bioinformatics and Translational Informatics
    Hélène Dauchel, Thierry Lecroq B · 2017 · Yearbook of Medical Informatics
  44. Modeling of Cellular Systems: Application in Stem Cell Research and Computational Disease Modeling
    Muhammad Ali, Antonio del Sol · 2018 · Computational biology
  45. Prediction of key transcription factors during skin regeneration by combining gene expression data and regulatory network information analysis
    Ping Huang, Peng Ge, Qingfen Tian, Guo-Bao Huang · 2019 · International Journal of Biomathematics
  46. Identifying anti-TNF response biomarkers in ulcerative colitis using a diffusion-based signalling model
    Amrinder Singh, Endre Anderssen, Christopher Graham Fenton, Ruth Hracky Paulssen · 2021 · Bioinformatics Advances
  47. Identifying Tumor-Associated Genes from Bilayer Networks of DNA Methylation Sites and RNAs
    Xin‐Jian Xu, Hongxiang Gao, Liucun Zhu, Rui Zhu · 2022 · Life
  48. Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization
    Dianbo Liu, José Dávila-Velderrain, Zhizhuo Zhang, M Kellis · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  49. Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes
    Laura Cantini, Ulykbek Kairov, Aurélien de Reyniès, Emmanuel Barillot, François Radvanyi, Andrei Y. Zinovyev · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  50. The interplay of immune components and ECM in oral cancer
    Yigang Kwak, Burair A. Alsaihati, Chi Zhang, Ying Xu, Sha Cao · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  51. Pan-cancer analysis on microRNA-mediated gene activation
    Hua Tan, SHAN HU HUANG, Zhigang Zhang, Xiaohua Qian, Peiqing Sun, Xiaobo Zhou · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  52. Correlating predicted epigenetic marks with expression data to find interactions between SNPs and genes
    Antoine Despinasse, Yongjin Park, Michael Lapi, M Kellis · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  53. Scavenging of Interleukin 6 Receptor by Bioidentical Recombinant gp130 as Intervention in Covid-19 Exacerbation
    Sebastian Lobentanzer · 2020
  54. Characterizing the targets of transcription regulators by aggregating ChIP-seq and perturbation expression data sets
    Alexander M. Morin, Eric Ching-Pan Chu, Aman Sharma, Alexander Adrian-Hamazaki, Paul Pavlidis · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  55. FISHNET: A Network-based Tool for Analyzing Gene-level P-values to Identify Significant Genes Missed by Standard Methods
    Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J. Jung, Yu Sung Kang, Shu Liao, Michael A. Province, Michael R. Brent · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  56. SIAM Data Mining Brings It' to Annual Meeting
    Jeremy Kepner, Vijay N. Gadepally, Benjamin A. Miller, Rajmonda S. Caceres, Sanjukta Bhowmich, Aydın Buluç, R. Jordan Crouser, Jennifer Webster · 2017 · Smith ScholarWorks (Smith College)
  57. Identification of genes and regulators that are shared across T cell associated diseases
    Danuta R. Gawel · 2018 · Linköping University medical dissertations
  58. Avaliação do perfil genômico dos genes da família HOX em tumores a partir de dados de bancos públicos
    Jéssica Rodrigues Plaça · 2018
  59. Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regions
    Gerald Quon, Soheil Feizi, Daniel Marbach, Melina Claussnitzer, M Kellis · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  60. Identify Commonly Affected Pathways in Psychiatric Diseases
    Umit Bulut, Burcu Bakır-Güngör · 2018
  61. Mechanistic interpretation of non-coding variants helps discover transcriptional regulators of drug response
    Xiaoman Xie, Casey Ryan Hanson, Saurabh Sinha · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  62. Network Medicine in the age of biomedical big data
    Abhijeet R. Sonawane, Scott T. Weiss, Kimberly Glass, Amitabh Sharma · 2019 · arXiv (Cornell University)
  63. Precision oncology : oncogenic stat3 signalling in brain tumours
    Melanie Si Yan Tan · 2019
  64. Semantic Prioritization of Novel Causative Genomic Variants in Mendelian and Oligogenic Diseases
    Imene Boudellioua · 2019 · King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
  65. Discovery of a Robust Gene Regulatory Network with a Complex Transcription Factor Network on Organ Cancer Cell-line RNA Sequence Data
    Bharata Kalbuaji, Y‐h. Taguchi, Akihiko Konagaya · 2019 · Chem-Bio Informatics Journal
  66. Resolving the molecular complexity of brain tumors through machine learning approaches for precision medicine
    Edwin Sandanaraj · 2019
  67. An Integrating Analysis Reveals Key Regulatory Networks in Breast Cancer
    Wenjuan Zhang, Yifan Zhang, William E. Yang, Dan Li, Jun S. Liu, Mary Qu Yang · 2019 · International Conference on Computational Science and Computational Intelligence (CSCI)
  68. Identifying Cell Type Specific TF Combinatorial Regulation via a Two-Stage Statistical Method
    Kairong Liu, Andrew P. Hutchins, Yong Wang · 2020 · IEEE International Conference on Big Data and Smart Computing (BigComp)
  69. Comparison of gene regulatory networks to identify pathogenic genes for lymphoma
    Yu Xiao, Tongfeng Weng, Changgui Gu, Huijie Yang · 2020 · Journal of Bioinformatics and Computational Biology
  70. Identifying the Potential Mechanism of Action of SNPs Associated With Breast Cancer Susceptibility With GVITamIN
    An-phi Nguyen, Paola Nicoletti, Damien Arnol, Andrea Califano, María Rodríguez Martínez · 2020 · Frontiers in Bioengineering and Biotechnology
  71. A systems based framework to computationally predict putative transcription factors and signaling pathways regulating glycan biosynthesis
    Theodore Groth, Sriram Neelamegham · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  72. Global genome decompaction leads to stochastic activation of gene expression as a first step toward fate commitment in human hematopoietic stem cells
    Parmentier Romuald, Alice Moussy, Chantalat Sophie, Laëtitia Racine, Sudharshan Ravi, Nan Papili Gao, Daniel Stockholm, Corre Guillaume, Geneviève Fourel, Jean‐François Deleuze et al. · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  73. İmmün Bağlantılı Hastalıklarda Aktif Alt Ağ Araması ile Ortak Hastalık Oluşum Mekanizmalarının Tespiti : Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks
    Mahmut Kaan Eryilmaz, Cihan Kuzudisli, Burcu Bakır-Güngör · 2020
  74. Regulus infers signed regulatory networks in few samples from regions and genes activities
    Marine Louarn, Guillaume Collet, Ève Barré, Thierry Fest, Olivier Dameron, Anne Siegel, Fabrice Chatonnet · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  75. Reproducibility and reusability limitations in Regulatory Circuits: analysis and solutions
    Marine Louarn, Anne Siegel, Thierry Fest, Olivier Dameron, Fabrice Chatonnet · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  76. Faculty Opinions recommendation of Assessment of network module identification across complex diseases.
    Sushmita Roy · 2019 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  77. TReNCo: Topologically associating domain (TAD) aware regulatory network construction
    Christopher G. Bennett, Viren R. Amin, Daehwan Kim, Murat Can Çobanoğlu, Venkat S. Malladi · 2022 · F1000Research
  78. Faculty Opinions recommendation of A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome.
    Saikat Chakrabarti · 2020 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  79. Best Paper Selection
    Hélène Dauchel, Thierry Lecroq B · 2017 · Yearbook of Medical Informatics
  80. Contents IMIA Yearbook of Medical Informatics 2017
    2017 · Yearbook of Medical Informatics
  81. GWAS of Clinically Defined Gout Identifies Non-Urate-Related Loci and Implicates Novel Gene, Pathway and Cell Type Associations
    Changgui Li, Lin Han, Can Wang, Zhaowei Zhou, Chuanhong Wu, Jie Lü, Lingling Cui, Zhen Liu, Hailong Li, Xinde Li et al. · 2022 · SSRN Electronic Journal
  82. Context matters
    Dylan H. de Vries · 2022
  83. A comparative study on psychiatric disorders: Identification of shared pathways and common agents
    Cihan Kuzudisli, Burcu Bakır-Güngör · 2022 · Innovations in Intelligent Systems and Applications Conference (ASYU)
  84. MultiomicsTracks96: A high throughput PIXUL-Matrix-based toolbox to profile frozen and FFPE tissues multiomes
    Daniel Mar, Ilona M. Babenko, Ran Zhang, William Stafford Noble, Oleg N. Denisenko, Tomáš Vaisar, Karol Bomsztyk · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  85. Data from N6-Methyladenosine Regulates mRNA Stability and Translation Efficiency of KRT7 to Promote Breast Cancer Lung Metastasis
    Feng Chen, Zhuojia Chen, Tao Guan, Yan Zhou, Lichen Ge, Haisheng Zhang, Yingmin Wu, Guanmin Jiang, Weiling He, Jiexin Li et al. · 2023
  86. Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome
    José Luis Caldú-Primo, José Dávila-Velderrain, Juan Carlos Martínez‐García, Elena R Alvarez-Buylla · 2023 · EPiC series in computing
  87. A multi-network approach to Alzheimer’s Disease gene prioritization complements cis -regulatory prioritization with molecular quantitative trait loci
    Jeffrey L. Brabec, Montana Kay Lara, Anna L. Tyler, J. Matthew Mahoney · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  88. COVID-19 risk variant associations with chromatin remodelling, DNA maintenance and surfactant genes are infection dependent in the lung
    Rachel K. Jaros, Evgeniia Golovina, Justin Martin O'Sullivan · 2023 · medRxiv
  89. Bibliography
    2023 · The MIT Press eBooks
  90. Regulus infers signed regulatory relations from few samples’ information using discretization and likelihood constraints
    Marine Louarn, Guillaume Collet, Ève Barré, Thierry Fest, Olivier Dameron, Anne Siegel, Fabrice Chatonnet · 2024 · PLoS Computational Biology
  91. Additional file 2 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
    Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang · 2021 · Figshare
  92. Additional file 6 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
    Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang · 2021 · Figshare
  93. Additional file 5 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
    Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang · 2021 · Figshare
  94. Additional file 4 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
    Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang · 2021 · Figshare
  95. Additional file 1 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
    Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang · 2021 · Figshare
  96. Análise do papel dos genes HOX na regulação de vias gênicas compartilhadas entre o desenvolvimento placentário e tumoral
    Danielle Barbosa Brotto · 2019
  97. Tissue-aware interpretation of genetic variants advances the etiology of rare diseases
    Chanan M Argov, Ariel Shneyour, Juman Jubran, Eric Sabag, Avigdor Mansbach, Yair Sepunaru, Emmi Filtzer, Gil Gruber, Miri Volozhinsky, Yuval Yogev et al. · 2024 · Molecular Systems Biology
  98. Integrative multi-ethnic Mendelian randomisation identifies tissue- specific causal genes for Coronary Artery Disease and interactions with post-acute Covid
    Rachel K. Jaros, Justin Martin O'Sullivan · 2024 · medRxiv
  99. Control backbone detection in omnigenic disease neighborhood targeting core module
    Yuxuan Cai, Bingbo Wang, Junru Zheng · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  100. Network Embedding for Peripheral Weak Genetic Effects of Complex Diseases
    Jie Li, Bingbo Wang, Chao Han, Jiaojiao He · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)