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Identification of long non-coding RNAs and RNA binding proteins in breast cancer subtypes.

• Authors : Cava C; Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Via F.Cervi 93, 20090, Segrate-Milan, Milan, Italy. .; Armaos A

Subjects: Breast Neoplasms/Breast Neoplasms/Breast Neoplasms/*diagnosis ; Breast Neoplasms/Breast Neoplasms/Breast Neoplasms/*genetics ; Gene Expression/Gene Expression/Gene Expression/*genetics

• Source: Scientific reports [Sci Rep] 2022 Jan 13; Vol. 12 (1), pp. 693. Date of Electronic Publication: 2022 Jan 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine learning approaches to predict lupus disease activity from gene expression data.

• Authors : Kegerreis B; RILITE Research Institute and AMPEL BioSolutions, 250 W Main St, Ste 300, Charlottesville, VA, 22902, USA.; Catalina MD

Subjects: Computational Biology*/Computational Biology*/Computational Biology*/methods ; Gene Expression* ; Gene Expression Profiling*

• Source: Scientific reports [Sci Rep] 2019 Jul 03; Vol. 9 (1), pp. 9617. Date of Electronic Publication: 2019 Jul 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing.

• Authors : Pastuszak, Krzysztof^1,2,3 (AUTHOR) ; Sieczczyński, Michał³ (AUTHOR); Dzięgielewska, Marta¹ (AUTHOR)

• Source: Scientific Reports. 5/14/2024, Vol. 14 Issue 1, p1-10. 10p.

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Predicting feature genes correlated with immune infiltration in patients with abdominal aortic aneurysm based on machine learning algorithms.

• Authors : Zhang, Yufeng^1,2,3 (AUTHOR); Li, Gang¹ (AUTHOR)

• Source: Scientific Reports. 3/2/2024, Vol. 14 Issue 1, p1-15. 15p.

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Machine learning algorithms for a novel cuproptosis-related gene signature of diagnostic and immune infiltration in endometriosis.

• Authors : Wang, Jiajia¹ (AUTHOR); Lu, Yiming² (AUTHOR); Sun, Guangyu³ (AUTHOR)

• Source: Scientific Reports. 12/7/2023, Vol. 13 Issue 1, p1-16. 16p.

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A deep learning model predicts the presence of diverse cancer types using circulating tumor cells.

• Authors : Albaradei, Somayah¹ (AUTHOR); Alganmi, Nofe^1,2 (AUTHOR); Albaradie, Abdulrahman³ (AUTHOR)

• Source: Scientific Reports. 11/30/2023, Vol. 13 Issue 1, p1-14. 14p.

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Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer.

• Authors : Tschodu, Dimitrij¹ (AUTHOR) ; Lippoldt, Jürgen¹ (AUTHOR); Gottheil, Pablo¹ (AUTHOR)

• Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-14. 14p.

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Exploring biomarkers of premature ovarian insufficiency based on oxford nanopore transcriptional profile and machine learning.

• Authors : Yu, Zhaoyang¹ (AUTHOR); Li, Mujun² (AUTHOR) ; Peng, Weilong³ (AUTHOR)

• Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-10. 10p.

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A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer.

• Authors : Zhan, Feng^1,2 (AUTHOR); He, Lidan³ (AUTHOR); Yu, Yuanlin⁴ (AUTHOR)

• Source: Scientific Reports. 9/29/2023, Vol. 13 Issue 1, p1-16. 16p.

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Immune cell identifier and classifier (ImmunIC) for single cell transcriptomic readouts.

• Authors : Park, Sung Yong¹ (AUTHOR); Ter-Saakyan, Sonia¹ (AUTHOR); Faraci, Gina¹ (AUTHOR)

• Source: Scientific Reports. 7/26/2023, Vol. 13 Issue 1, p1-13. 13p.

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