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For: Yan T, Ding F, Zhao Y. Integrated identification of key genes and pathways in Alzheimer's disease via comprehensive bioinformatical analyses. Hereditas 2019;156:25. [PMID: 31346329 DOI: 10.1186/s41065-019-0101-0] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Mullins R, Kapogiannis D. Alzheimer’s Disease-Related Genes Identified by Linking Spatial Patterns of Pathology and Gene Expression. Front Neurosci 2022;16:908650. [DOI: 10.3389/fnins.2022.908650] [Reference Citation Analysis]
2 Culig L, Chu X, Bohr VA. Neurogenesis in aging and age-related neurodegenerative diseases. Ageing Res Rev 2022;78:101636. [PMID: 35490966 DOI: 10.1016/j.arr.2022.101636] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Kumar T, Sethuraman R, Mitra S, Ravindran B, Narayanan M. MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication.. [DOI: 10.1101/2022.05.15.492007] [Reference Citation Analysis]
4 Li Z, Guo W, Zeng T, Yin J, Feng K, Huang T, Cai Y. Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer’s Disease. Front Neurosci 2022;16:895181. [DOI: 10.3389/fnins.2022.895181] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Abyadeh M, Tofigh N, Hosseinian S, Hasan M, Amirkhani A, Fitzhenry MJ, Gupta V, Chitranshi N, Salekdeh GH, Haynes PA, Gupta V, Shahpasand K, Mirzaei M. Key Genes and Biochemical Networks in Various Brain Regions Affected in Alzheimer's Disease. Cells 2022;11:987. [PMID: 35326437 DOI: 10.3390/cells11060987] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Petrini I, Cecchini RL, Mascaró M, Ponzoni I, Carballido JA. Statistical Learning Analysis of Thyroid Cancer Microarray Data. Bioinformatics and Biomedical Engineering 2022. [DOI: 10.1007/978-3-031-07802-6_8] [Reference Citation Analysis]
7 Abdullah MN, Wah YB, Abdul Majeed AB, Zakaria Y, Shaadan N. Identification of blood-based transcriptomics biomarkers for Alzheimer's disease using statistical and machine learning classifier. Informatics in Medicine Unlocked 2022;33:101083. [DOI: 10.1016/j.imu.2022.101083] [Reference Citation Analysis]
8 Liu YJ, Liu TT, Jiang LH, Liu Q, Ma ZL, Xia TJ, Gu XP. Identification of hub genes associated with cognition in the hippocampus of Alzheimer's Disease. Bioengineered 2021. [PMID: 34719328 DOI: 10.1080/21655979.2021.1999549] [Reference Citation Analysis]
9 Tan MS, Cheah PL, Chin AV, Looi LM, Chang SW. A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach. Comput Biol Med 2021;139:104947. [PMID: 34678481 DOI: 10.1016/j.compbiomed.2021.104947] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
10 Popugaeva E, Chernyuk D, Bezprozvanny I. Reversal of Calcium Dysregulation as Potential Approach for Treating Alzheimer's Disease. Curr Alzheimer Res 2020;17:344-54. [PMID: 32469698 DOI: 10.2174/1567205017666200528162046] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
11 Li H, Zou L, Shi J, Han X. Bioinformatics analysis of differentially expressed genes and identification of an miRNA-mRNA network associated with entorhinal cortex and hippocampus in Alzheimer's disease. Hereditas 2021;158:25. [PMID: 34243818 DOI: 10.1186/s41065-021-00190-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Sharma A, Dey P. A machine learning approach to unmask novel gene signatures and prediction of Alzheimer's disease within different brain regions. Genomics 2021;113:1778-89. [PMID: 33878365 DOI: 10.1016/j.ygeno.2021.04.028] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
13 Sharma A, Dey P. A Machine Learning Approach to Unmask Novel Gene Signatures and Prediction of Alzheimer’s Disease Within Different Brain Regions.. [DOI: 10.1101/2021.03.03.433689] [Reference Citation Analysis]
14 Wee JJ, Kumar S. Prediction of hub genes of Alzheimer's disease using a protein interaction network and functional enrichment analysis. Genomics Inform 2020;18:e39. [PMID: 33412755 DOI: 10.5808/GI.2020.18.4.e39] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
15 Lin G, Yin G, Ye J, Pan X, Zhu J, Lin B. RNA sequence analysis of dermal papilla cells' regeneration in 3D culture. J Cell Mol Med 2020;24:13421-30. [PMID: 33038058 DOI: 10.1111/jcmm.15965] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
16 Selvaraj J, Sardar H, Vishnupriya V, Balakrishna JP, Mohan SK, Nivedha RP, Vijayalakshmi P, Ponnulakshmi R. Molecular docking analysis of amyloid precursor protein with compounds from the Australian cowplant. Bioinformation 2020;16:561-6. [PMID: 32994682 DOI: 10.6026/97320630016561] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Kovalev SS, Dergilev AI, Orlov YL, Fateev OD, Kavai-ool UN. Reconstruction of Dementia Gene Network Using Online Bioinformatics Tools. 2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB) 2020. [DOI: 10.1109/csgb51356.2020.9214618] [Reference Citation Analysis]
18 Tao Y, Han Y, Yu L, Wang Q, Leng SX, Zhang H. The Predicted Key Molecules, Functions, and Pathways That Bridge Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). Front Neurol 2020;11:233. [PMID: 32308643 DOI: 10.3389/fneur.2020.00233] [Cited by in Crossref: 22] [Cited by in F6Publishing: 28] [Article Influence: 11.0] [Reference Citation Analysis]
19 Yuen SC, Zhu H, Leung SW. A Systematic Bioinformatics Workflow With Meta-Analytics Identified Potential Pathogenic Factors of Alzheimer's Disease. Front Neurosci 2020;14:209. [PMID: 32231518 DOI: 10.3389/fnins.2020.00209] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]