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Cited by in F6Publishing
For: Nevedomskaya E, Haendler B. From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer. Int J Mol Sci 2022;23:6281. [PMID: 35682963 DOI: 10.3390/ijms23116281] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Mohammed MA, Lakhan A, Abdulkareem KH, Garcia-Zapirain B. A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA). Comput Biol Med 2023;154:106617. [PMID: 36753981 DOI: 10.1016/j.compbiomed.2023.106617] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Golubova A, Lanekoff I. Surface sampling capillary electrophoresis-mass spectrometry for a direct chemical characterization of tissue and blood samples. Electrophoresis 2023;44:387-94. [PMID: 36330562 DOI: 10.1002/elps.202200183] [Reference Citation Analysis]
3 Raith F, O'Donovan DH, Lemos C, Politz O, Haendler B. Addressing the Reciprocal Crosstalk between the AR and the PI3K/AKT/mTOR Signaling Pathways for Prostate Cancer Treatment. Int J Mol Sci 2023;24. [PMID: 36768610 DOI: 10.3390/ijms24032289] [Reference Citation Analysis]
4 Nevedomskaya E, Sugawara T, Baumgart SJ, Lesche R, Hahne H, Mumberg D, Haendler B. Comparative Proteomic and Transcriptomic Analysis of the Impact of Androgen Stimulation and Darolutamide Inhibition. Cancers (Basel) 2022;15. [PMID: 36611998 DOI: 10.3390/cancers15010002] [Reference Citation Analysis]
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