نتائج البحث

The Poisson distribution model fits UMI-based single-cell RNA-sequencing data.

• Authors : Pan, Yue^1,2 (AUTHOR); Landis, Justin T.^2,3 (AUTHOR); Moorad, Razia^2,3 (AUTHOR)

• Source: BMC Bioinformatics. 6/17/2023, Vol. 24 Issue 1, p1-27. 27p.

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Zim4rv: an R package to modeling zero-inflated count phenotype on regional-based rare variants.

• Authors : Liu, Xiaomin¹ (AUTHOR); Li, Yi-Ju^1,2,3 (AUTHOR); Fan, Qiao¹ (AUTHOR)

• Source: BMC Bioinformatics. 1/16/2025, Vol. 26 Issue 1, p1-10. 10p.

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scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

• Authors : Cui, Xiaoxu^1,2,3 (AUTHOR) ; Wu, Renkai^3,4 (AUTHOR) ; Liu, Yinghao^1,2,3 (AUTHOR)

• Source: BMC Bioinformatics. 1/29/2025, Vol. 26 Issue 1, p1-17. 17p.

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baredSC: Bayesian approach to retrieve expression distribution of single-cell data.

• Authors : Lopez-Delisle, Lucille¹ (AUTHOR) ; Delisle, Jean-Baptiste² (AUTHOR)

• Source: BMC Bioinformatics. 1/12/2022, Vol. 23 Issue 1, p1-27. 27p.

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Survival time prediction by integrating cox proportional hazards network and distribution function network.

• Authors : Baek, Eu-Tteum¹ (AUTHOR); Yang, Hyung Jeong² (AUTHOR) ; Kim, Soo Hyung² (AUTHOR)

• Source: BMC Bioinformatics. 4/15/2021, Vol. 22 Issue 1, p1-15. 15p.

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Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data.

• Authors : Vo, Duong H. T.¹ (AUTHOR); Thorne, Thomas¹ (AUTHOR)

• Source: BMC Bioinformatics. 10/26/2024, Vol. 25 Issue 1, p1-16. 16p.

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Gbdmr: identifying differentially methylated CpG regions in the human genome via generalized beta regressions.

• Authors : Wu, Chengzhou¹ (AUTHOR); Mou, Xichen¹ (AUTHOR) ; Zhang, Hongmei¹ (AUTHOR)

• Source: BMC Bioinformatics. 3/5/2024, Vol. 25 Issue 1, p1-17. 17p.

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PRMxAI: protein arginine methylation sites prediction based on amino acid spatial distribution using explainable artificial intelligence

• Authors : Monika Khandelwal; Ranjeet Kumar Rout

Subjects: Arginine methylation; Physicochemical properties; Shannon entropy

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)

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DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data.

• Authors : Cui, Hongfei^1,2 (AUTHOR); Hu, Hailin³ (AUTHOR); Zeng, Jianyang⁴ (AUTHOR)

• Source: BMC Bioinformatics. 12/20/2019 Supplement 24, Vol. 20, p1-13. 13p. 2 Diagrams, 3 Charts, 3 Graphs.

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The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

• Authors : Laurence de Torrenté; Samuel Zimmerman; Masako Suzuki

Subjects: Gene expression; Multi-modality; Non-normal distribution

• Source: BMC Bioinformatics, Vol 21, Iss S21, Pp 1-18 (2020)

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