Xiang S - Search Results

1

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: xiang s. Sci Rep. 2021 Jan 11;11(1):353. doi: 10.1038/s41598-020-79740-x. Sci Rep. 2021. PMID: 33432017 Free PMC article.

2

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. 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.

3

Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing.

Johnson TS, Xiang S, Helm BR, Abrams ZB, Neidecker P, Machiraju R, Zhang Y, Huang K, Zhang J. Johnson TS, et al. Among authors: xiang s. Sci Rep. 2020 Oct 22;10(1):18014. doi: 10.1038/s41598-020-74917-w. Sci Rep. 2020. PMID: 33093481 Free PMC article.

4

Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression.

Yu CY, Xiang S, Huang Z, Johnson TS, Zhan X, Han Z, Abu Zaid M, Huang K. Yu CY, et al. Among authors: xiang s. Front Genet. 2019 May 17;10:468. doi: 10.3389/fgene.2019.00468. eCollection 2019. Front Genet. 2019. PMID: 31156714 Free PMC article.

5

Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations.

Huang Z, Johnson TS, Han Z, Helm B, Cao S, Zhang C, Salama P, Rizkalla M, Yu CY, Cheng J, Xiang S, Zhan X, Zhang J, Huang K. Huang Z, et al. Among authors: xiang s. BMC Med Genomics. 2020 Apr 3;13(Suppl 5):41. doi: 10.1186/s12920-020-0686-1. BMC Med Genomics. 2020. PMID: 32241264 Free PMC article.

6

Hyper-graph based sparse canonical correlation analysis for the diagnosis of Alzheimer's disease from multi-dimensional genomic data.

Shao W, Xiang S, Zhang Z, Huang K, Zhang J. Shao W, et al. Among authors: xiang s. Methods. 2021 May;189:86-94. doi: 10.1016/j.ymeth.2020.04.008. Epub 2020 Apr 28. Methods. 2021. PMID: 32360353

7

TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.

Huang Z, Han Z, Wang T, Shao W, Xiang S, Salama P, Rizkalla M, Huang K, Zhang J. Huang Z, et al. Among authors: xiang s. Genomics Proteomics Bioinformatics. 2021 Dec;19(6):1023-1031. doi: 10.1016/j.gpb.2019.05.006. Epub 2021 Mar 8. Genomics Proteomics Bioinformatics. 2021. PMID: 33705981 Free PMC article.

8

SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.

Huang Z, Zhan X, Xiang S, Johnson TS, Helm B, Yu CY, Zhang J, Salama P, Rizkalla M, Han Z, Huang K. Huang Z, et al. Among authors: xiang s. Front Genet. 2019 Mar 8;10:166. doi: 10.3389/fgene.2019.00166. eCollection 2019. Front Genet. 2019. PMID: 30906311 Free PMC article.

9

A1 reactive astrocytes and a loss of TREM2 are associated with an early stage of pathology in a mouse model of cerebral amyloid angiopathy.

Taylor X, Cisternas P, You Y, You Y, Xiang S, Marambio Y, Zhang J, Vidal R, Lasagna-Reeves CA. Taylor X, et al. Among authors: xiang s. J Neuroinflammation. 2020 Jul 25;17(1):223. doi: 10.1186/s12974-020-01900-7. J Neuroinflammation. 2020. PMID: 32711525 Free PMC article.

10

Vascular amyloid accumulation alters the gabaergic synapse and induces hyperactivity in a model of cerebral amyloid angiopathy.

Cisternas P, Taylor X, Perkins A, Maldonado O, Allman E, Cordova R, Marambio Y, Munoz B, Pennington T, Xiang S, Zhang J, Vidal R, Atwood B, Lasagna-Reeves CA. Cisternas P, et al. Among authors: xiang s. Aging Cell. 2020 Oct;19(10):e13233. doi: 10.1111/acel.13233. Epub 2020 Sep 10. Aging Cell. 2020. PMID: 32914559 Free PMC article.

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