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Cited by in F6Publishing
For: Zeng H, Chen L, Huang Y, Luo Y, Ma X. Integrative Models of Histopathological Image Features and Omics Data Predict Survival in Head and Neck Squamous Cell Carcinoma. Front Cell Dev Biol 2020;8:553099. [PMID: 33195188 DOI: 10.3389/fcell.2020.553099] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Zeng H, Chen L, Zhang M, Luo Y, Ma X. Integration of histopathological images and multi-dimensional omics analyses predicts molecular features and prognosis in high-grade serous ovarian cancer. Gynecol Oncol 2021:S0090-8258(21)00577-1. [PMID: 34275655 DOI: 10.1016/j.ygyno.2021.07.015] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Chen L, Zeng H, Xiang Y, Huang Y, Luo Y, Ma X. Histopathological Images and Multi-Omics Integration Predict Molecular Characteristics and Survival in Lung Adenocarcinoma. Front Cell Dev Biol 2021;9:720110. [PMID: 34708036 DOI: 10.3389/fcell.2021.720110] [Reference Citation Analysis]
3 Karimi MR, Karimi AH, Abolmaali S, Sadeghi M, Schmitz U. Prospects and challenges of cancer systems medicine: from genes to disease networks. Brief Bioinform 2021:bbab343. [PMID: 34471925 DOI: 10.1093/bib/bbab343] [Reference Citation Analysis]
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