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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2007 2
2008 3
2010 3
2011 9
2012 16
2013 8
2014 6
2015 6
2016 7
2017 2
2019 4
2020 3
2021 5
2022 4
2023 2
2024 5
2025 4
2026 2

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80 results

Results by year

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Page 1
Histologic and Clinical Factors Associated with Kidney Outcomes in IgA Vasculitis Nephritis.
Barbour SJ, Coppo R, Er L, Pillebout E, Russo ML, Alpers CE, Fogo AB, Ferrario F, Jennette JC, Roberts ISD, Cook HT, Ding J, Su B, Zhong X, Fervenza FC, Zand L, Peruzzi L, Lucchetti L, Katafuchi R, Shima Y, Yoshikawa N, Ichikawa D, Suzuki Y, Murer L, Wyatt RJ, Park C, Nelson RD, Narus JH, Wenderfer S, Geetha D, Daugas E, Monteiro RC, Nakatani S, Mastrangelo A, Nuutinen M, Koskela M, Weber LT, Hackl A, Pohl M, Pecoraro C, Tsuboi N, Yokoo T, Takafumi I, Fujimoto S, Conti G, Santoro D, Materassi M, Zhang H, Shi S, Liu ZH, Tesar V, Maixnerova D, Avila-Casado C, Bajema I, Barreca A, Becker JU, Comstock JM, Cornea V, Eldin K, Hernandez LH, Hou J, Joh K, Lin M, Messias N, Muda AO, Pagni F, Diomedi-Camassei F, Tokola H, D'Armiento M, Seidl M, Rosenberg A, Sannier A, Soares MF, Wang S, Zeng C, Haas M. Barbour SJ, et al. Among authors: liu zh. Clin J Am Soc Nephrol. 2024 Apr 1;19(4):438-451. doi: 10.2215/CJN.0000000000000398. Epub 2024 Jan 23. Clin J Am Soc Nephrol. 2024. PMID: 38261310 Free PMC article.
A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma.
Huang KB, Gui CP, Xu YZ, Li XS, Zhao HW, Cao JZ, Chen YH, Pan YH, Liao B, Cao Y, Zhang XK, Han H, Zhou FJ, Liu RY, Chen WF, Jiang ZY, Feng ZH, Jiang FN, Yu YF, Xiong SW, Han GP, Tang Q, Ouyang K, Qu GM, Wu JT, Cao M, Dong BJ, Huang YR, Zhang J, Li CX, Li PX, Chen W, Zhong WD, Guo JP, Liu ZP, Hsieh JT, Xie D, Cai MY, Xue W, Wei JH, Luo JH. Huang KB, et al. Among authors: liu zp. Nat Commun. 2024 Jul 23;15(1):6215. doi: 10.1038/s41467-024-50369-y. Nat Commun. 2024. PMID: 39043664 Free PMC article.
Integrating genomics and histology for cancer prognosis demonstrates promise. Here, we develop a multi-classifier system integrating a lncRNA-based classifier, a deep learning whole-slide-image-based classifier, and a clinicopathological classifier to accurately predict po …
Integrating genomics and histology for cancer prognosis demonstrates promise. Here, we develop a multi-classifier system integrating …
A new framework for host-pathogen interaction research.
Yu H, Li L, Huffman A, Beverley J, Hur J, Merrell E, Huang HH, Wang Y, Liu Y, Ong E, Cheng L, Zeng T, Zhang J, Li P, Liu Z, Wang Z, Zhang X, Ye X, Handelman SK, Sexton J, Eaton K, Higgins G, Omenn GS, Athey B, Smith B, Chen L, He Y. Yu H, et al. Among authors: liu z, chen l. Front Immunol. 2022 Dec 15;13:1066733. doi: 10.3389/fimmu.2022.1066733. eCollection 2022. Front Immunol. 2022. PMID: 36591248 Free PMC article.
Network-based analysis of complex diseases.
Liu ZP, Wang Y, Zhang XS, Chen L. Liu ZP, et al. IET Syst Biol. 2012 Feb;6(1):22-33. doi: 10.1049/iet-syb.2010.0052. IET Syst Biol. 2012. PMID: 22360268 Free article. Review.
Complex diseases are commonly believed to be caused by the breakdown of several correlated genes rather than individual genes. The availability of genome-wide data of high-throughput experiments provides us with new opportunity to explore this hypothesis by analysing the d …
Complex diseases are commonly believed to be caused by the breakdown of several correlated genes rather than individual genes. The availabil …
Identifying biomarkers for breast cancer by gene regulatory network rewiring.
Wang Y, Liu ZP. Wang Y, et al. Among authors: liu zp. BMC Bioinformatics. 2022 Jan 20;22(Suppl 12):308. doi: 10.1186/s12859-021-04225-1. BMC Bioinformatics. 2022. PMID: 35045805 Free PMC article.
BACKGROUND: Mining gene regulatory network (GRN) is an important avenue for addressing cancer mechanism. Mutations in cancer genome perturb GRN and cause a rewiring in an orchestrated network. Hence, the exploration of gene regulatory network rewiring is significant to dis …
BACKGROUND: Mining gene regulatory network (GRN) is an important avenue for addressing cancer mechanism. Mutations in cancer genome p …
Identifying network-based biomarkers of complex diseases from high-throughput data.
Liu ZP. Liu ZP. Biomark Med. 2016 Jun;10(6):633-50. doi: 10.2217/bmm-2015-0035. Epub 2016 Jan 20. Biomark Med. 2016. PMID: 26786840 Review.
The emerging omics techniques provide powerful alternatives to measure thousands of molecules in cells in parallel manners. The generated genomic, transcriptomic, proteomic, metabolomic and phenomic data provide comprehensive molecular and cellular information for detectin …
The emerging omics techniques provide powerful alternatives to measure thousands of molecules in cells in parallel manners. The generated …
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study.
Gui CP, Chen YH, Zhao HW, Cao JZ, Liu TJ, Xiong SW, Yu YF, Liao B, Cao Y, Li JY, Huang KB, Han H, Zhang ZL, Chen WF, Jiang ZY, Gao Y, Han GP, Tang Q, Ouyang K, Qu GM, Wu JT, Guo JP, Li CX, Li PX, Liu ZP, Hsieh JT, Cai MY, Li XS, Wei JH, Luo JH. Gui CP, et al. Among authors: liu zp. Lancet Digit Health. 2023 Aug;5(8):e515-e524. doi: 10.1016/S2589-7500(23)00095-X. Epub 2023 Jun 29. Lancet Digit Health. 2023. PMID: 37393162 Free article.
We developed a novel assay integrating three modalities-clinical, genomic, and histopathological-to improve the predictive accuracy for localised renal cell carcinoma recurrence. ...The multimodal recurrence score was validated in 1625 patients from the independent validat …
We developed a novel assay integrating three modalities-clinical, genomic, and histopathological-to improve the predictive accuracy f …
80 results