Ni D - Search Results

1

Condition-specific gene co-expression network mining identifies key pathways and regulators in the brain tissue of Alzheimer's disease patients.

Xiang S, Huang Z, Wang T, Han Z, Yu CY, Ni D, Huang K, Zhang J. Xiang S, et al. Among authors: ni d. BMC Med Genomics. 2018 Dec 31;11(Suppl 6):115. doi: 10.1186/s12920-018-0431-1. BMC Med Genomics. 2018. PMID: 30598117 Free PMC article.

2

Gene Co-Expression Networks Restructured Gene Fusion in Rhabdomyosarcoma Cancers.

Helm BR, Zhan X, Pandya PH, Murray ME, Pollok KE, Renbarger JL, Ferguson MJ, Han Z, Ni D, Zhang J, Huang K. Helm BR, et al. Among authors: ni d. Genes (Basel). 2019 Aug 30;10(9):665. doi: 10.3390/genes10090665. Genes (Basel). 2019. PMID: 31480361 Free PMC article.

3

A pan-kidney cancer study identifies subtype specific perturbations on pathways with potential drivers in renal cell carcinoma.

Zhan X, Liu Y, Yu CY, Wang TF, Zhang J, Ni D, Huang K. Zhan X, et al. Among authors: ni d. BMC Med Genomics. 2020 Dec 28;13(Suppl 11):190. doi: 10.1186/s12920-020-00827-5. BMC Med Genomics. 2020. PMID: 33371886 Free PMC article.

4

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer's Disease.

Johnson TS, Xiang S, Dong T, Huang Z, Cheng M, Wang T, Yang K, Ni D, Huang K, Zhang J. Johnson TS, et al. Among authors: ni d. Sci Rep. 2021 Jan 11;11(1):353. doi: 10.1038/s41598-020-79740-x. Sci Rep. 2021. PMID: 33432017 Free PMC article.

5

Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer.

Zhan X, Cheng J, Huang Z, Han Z, Helm B, Liu X, Zhang J, Wang TF, Ni D, Huang K. Zhan X, et al. Among authors: ni d. Mol Cell Proteomics. 2019 Aug 9;18(8 suppl 1):S37-S51. doi: 10.1074/mcp.RA118.001232. Epub 2019 Jul 8. Mol Cell Proteomics. 2019. PMID: 31285282 Free PMC article.

6

[No title available]

[No authors listed] [No authors listed] PMID: 33451496

7

BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.

Lu Z, Zhan X, Wu Y, Cheng J, Shao W, Ni D, Han Z, Zhang J, Feng Q, Huang K. Lu Z, et al. Among authors: ni d. Genomics Proteomics Bioinformatics. 2021 Dec;19(6):1032-1042. doi: 10.1016/j.gpb.2020.06.026. Epub 2021 Jul 17. Genomics Proteomics Bioinformatics. 2021. PMID: 34280546 Free PMC article.

8

Discriminative Learning for Alzheimer's Disease Diagnosis via Canonical Correlation Analysis and Multimodal Fusion.

Lei B, Chen S, Ni D, Wang T. Lei B, et al. Among authors: ni d. Front Aging Neurosci. 2016 May 17;8:77. doi: 10.3389/fnagi.2016.00077. eCollection 2016. Front Aging Neurosci. 2016. PMID: 27242506 Free PMC article.

9

Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma.

Cheng J, Han Z, Mehra R, Shao W, Cheng M, Feng Q, Ni D, Huang K, Cheng L, Zhang J. Cheng J, et al. Among authors: ni d. Nat Commun. 2020 Apr 14;11(1):1778. doi: 10.1038/s41467-020-15671-5. Nat Commun. 2020. PMID: 32286325 Free PMC article.

10

Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma.

Cheng J, Liu Y, Huang W, Hong W, Wang L, Zhan X, Han Z, Ni D, Huang K, Zhang J. Cheng J, et al. Among authors: ni d. Front Oncol. 2021 Mar 31;11:623382. doi: 10.3389/fonc.2021.623382. eCollection 2021. Front Oncol. 2021. PMID: 33869007 Free PMC article.

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