166 related articles for article (PubMed ID: 37116198)
1. An artificial neural network model to diagnose non-obstructive azoospermia based on RNA-binding protein-related genes.
Peng F; Muhuitijiang B; Zhou J; Liang H; Zhang Y; Zhou R
Aging (Albany NY); 2023 Apr; 15(8):3120-3140. PubMed ID: 37116198
[TBL] [Abstract][Full Text] [Related]
2. Identification and validation of diagnostic signature genes in non-obstructive azoospermia by machine learning.
Ran L; Gao Z; Chen Q; Cui F; Liu X; Xue B
Aging (Albany NY); 2023 May; 15(10):4465-4480. PubMed ID: 37227814
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of immune status in testis and macrophage polarization associated with testicular damage in patients with nonobstructive azoospermia.
Zheng W; Zhang S; Jiang S; Huang Z; Chen X; Guo H; Li M; Zheng S
Am J Reprod Immunol; 2021 Nov; 86(5):e13481. PubMed ID: 34192390
[TBL] [Abstract][Full Text] [Related]
4. Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms.
Tang Q; Su Q; Wei L; Wang K; Jiang T
Front Endocrinol (Lausanne); 2023; 14():1108616. PubMed ID: 37854191
[TBL] [Abstract][Full Text] [Related]
5. A 3-Gene Random Forest Model to Diagnose Non-obstructive Azoospermia Based on Transcription Factor-Related Henes.
Zhou R; Liang J; Chen Q; Tian H; Yang C; Liu C
Reprod Sci; 2023 Jan; 30(1):233-246. PubMed ID: 35715550
[TBL] [Abstract][Full Text] [Related]
6. Construction and external validation of a 5-gene random forest model to diagnose non-obstructive azoospermia based on the single-cell RNA sequencing of testicular tissue.
Zhou R; Lv X; Chen T; Chen Q; Tian H; Yang C; Guo W; Liu C
Aging (Albany NY); 2021 Nov; 13(21):24219-24235. PubMed ID: 34738918
[TBL] [Abstract][Full Text] [Related]
7. Altered Gene Expression in the Testis of Infertile Patients with Nonobstructive Azoospermia.
Wang Z; Ding Z; Guan Y; Liu C; Wang L; Shan W; Yang J
Comput Math Methods Med; 2021; 2021():5533483. PubMed ID: 34221106
[TBL] [Abstract][Full Text] [Related]
8. Integrated molecular-network analysis reveals infertility-associated key genes and transcription factors in the non-obstructive azoospermia.
Alagundagi DB; Ghate SD; Shetty P; Gollapalli P; Shetty P; Patil P
Eur J Obstet Gynecol Reprod Biol; 2023 Sep; 288():183-190. PubMed ID: 37549510
[TBL] [Abstract][Full Text] [Related]
9. Constructing a seventeen-gene signature model for non-obstructive azoospermia based on integrated transcriptome analyses and WGCNA.
Chen Y; Yuan P; Gu L; Bai J; Ouyang S; Sun T; Liu K; Wang Z; Liu C
Reprod Biol Endocrinol; 2023 Mar; 21(1):30. PubMed ID: 36945018
[TBL] [Abstract][Full Text] [Related]
10. Identification and functional analysis of spermatogenesis-associated gene modules in azoospermia by weighted gene coexpression network analysis.
Zheng W; Zou Z; Lin S; Chen X; Wang F; Li X; Dai J
J Cell Biochem; 2019 Mar; 120(3):3934-3944. PubMed ID: 30269365
[TBL] [Abstract][Full Text] [Related]
11. Sequencing of a 'mouse azoospermia' gene panel in azoospermic men: identification of RNF212 and STAG3 mutations as novel genetic causes of meiotic arrest.
Riera-Escamilla A; Enguita-Marruedo A; Moreno-Mendoza D; Chianese C; Sleddens-Linkels E; Contini E; Benelli M; Natali A; Colpi GM; Ruiz-Castañé E; Maggi M; Baarends WM; Krausz C
Hum Reprod; 2019 Jun; 34(6):978-988. PubMed ID: 31125047
[TBL] [Abstract][Full Text] [Related]
12. Infertility network and hub genes for nonobstructive azoospermia utilizing integrative analysis.
Han B; Yan Z; Yu S; Ge W; Li Y; Wang Y; Yang B; Shen W; Jiang H; Sun Z
Aging (Albany NY); 2021 Feb; 13(5):7052-7066. PubMed ID: 33621950
[TBL] [Abstract][Full Text] [Related]
13. Identification of biomarkers associated with macrophage infiltration in non-obstructive azoospermia using single-cell transcriptomic and microarray data.
Luo X; Zheng H; Nai Z; Li M; Li Y; Lin N; Li Y; Wu Z
Ann Transl Med; 2023 Jan; 11(2):55. PubMed ID: 36819497
[TBL] [Abstract][Full Text] [Related]
14. Over-expression of hsa_circ_0000116 in patients with non-obstructive azoospermia and its predictive value in testicular sperm retrieval.
Lv MQ; Zhou L; Ge P; Li YX; Zhang J; Zhou DX
Andrology; 2020 Nov; 8(6):1834-1843. PubMed ID: 32735753
[TBL] [Abstract][Full Text] [Related]
15. Construction of m6A-Related Gene Prediction Model and Subtype Analysis in Non-Obstructive Azoospermia Based on Bioinformatics.
Li G; Che K; Wu J; Yang B
Am J Reprod Immunol; 2024 Jul; 92(1):e13892. PubMed ID: 38958252
[TBL] [Abstract][Full Text] [Related]
16. Potential of testis-derived circular RNAs in seminal plasma to predict the outcome of microdissection testicular sperm extraction in patients with idiopathic non-obstructive azoospermia.
Ji C; Wang Y; Wei X; Zhang X; Cong R; Yao L; Qin C; Song N
Hum Reprod; 2021 Sep; 36(10):2649-2660. PubMed ID: 34477868
[TBL] [Abstract][Full Text] [Related]
17. Prediction of sperm extraction in non-obstructive azoospermia patients: a machine-learning perspective.
Zeadna A; Khateeb N; Rokach L; Lior Y; Har-Vardi I; Harlev A; Huleihel M; Lunenfeld E; Levitas E
Hum Reprod; 2020 Jul; 35(7):1505-1514. PubMed ID: 32538428
[TBL] [Abstract][Full Text] [Related]
18. Transcriptomic analysis of the Non-Obstructive Azoospermia (NOA) to address gene expression regulation in human testis.
Balagannavar G; Basavaraju K; Bajpai AK; Davuluri S; Kannan S; S Srini V; S Chandrashekar D; Chitturi N; K Acharya K
Syst Biol Reprod Med; 2023 Jun; 69(3):196-214. PubMed ID: 36883778
[TBL] [Abstract][Full Text] [Related]
19. MicroRNA expression profiles in the seminal plasma of nonobstructive azoospermia patients with different histopathologic patterns.
Zhang W; Zhang Y; Zhao M; Ding N; Yan L; Chen J; Gao L; Zhang G; Sun X; Gu Y; Liu M
Fertil Steril; 2021 May; 115(5):1197-1211. PubMed ID: 33602558
[TBL] [Abstract][Full Text] [Related]
20. CircRNA expression profile and functional analysis in testicular tissue of patients with non-obstructive azoospermia.
Ge P; Zhang J; Zhou L; Lv MQ; Li YX; Wang J; Zhou DX
Reprod Biol Endocrinol; 2019 Nov; 17(1):100. PubMed ID: 31775841
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]