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Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks

• Authors : Kim, Jong Hyun; Jang, Jongseong

Subjects: Quantitative Biology - Genomics; Computer Science - Machine Learning

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Advances in Machine Learning, Statistical Methods, and AI for Single-Cell RNA Annotation Using Raw Count Matrices in scRNA-seq Data

• Authors : Patel, Megha; Magre, Nimish; Motwani, Himanshi

Subjects: Quantitative Biology - Other Quantitative Biology; Statistics - Other Statistics; 92C42, 62H30, 68T10

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SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq

• Authors : Li, Xiaoyu; Zhu, Fangfang; Min, Wenwen

Subjects: Computer Science - Machine Learning; Computer Science - Artificial Intelligence; Quantitative Biology - Genomics

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A combined analysis of bulk RNA-seq and scRNA-seq was performed to investigate the molecular mechanisms associated with the occurrence of myocardial infarction

• Authors : Zheng Xie; Huicong Xie; Chen Xie

Subjects: Myocardial infarction; scRNA-seq; Fibroblast

• Source: BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)

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scRNA-seq transcriptomic profiling of irradiated mouse skin reveals altered cell types, pathways, and cell-cell interactions

• Authors : Zhisen Zhang; Yinyin Shu; Shuangshuang Lu

Subjects: scRNA-seq; IRIAD; cell-cell interaction

• Source: Radiation Medicine and Protection, Vol 5, Iss 3, Pp 185-193 (2024)

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Comprehensive Analysis of scRNA-Seq and Bulk RNA-Seq Reveals Transcriptional Signatures of Macrophages in Intrahepatic Cholestasis of Pregnancy

• Authors : Tang M; Xiong L; Cai J

Subjects: intrahepatic cholestasis of pregnancy; scrna-seq; bulk rna-seq

• Source: Journal of Inflammation Research, Vol Volume 17, Pp 6863-6874 (2024)

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scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data

• Authors : Vandenhirtz, Moritz; Barkmann, Florian; Manduchi, Laura

Subjects: Computer Science - Machine Learning

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deMULTIplex2: robust sample demultiplexing for scRNA-seq

• Authors : Zhu, Qin; Conrad, Daniel N; Gartner, Zev J

Subjects: Biological Sciences; Bioinformatics and Computational Biology; Genetics

• Source: Genome Biology. 25(1)

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scZAG: Integrating ZINB-Based Autoencoder with Adaptive Data Augmentation Graph Contrastive Learning for scRNA-seq Clustering.

• Authors : Zhang, Tianjiao¹ (AUTHOR) ; Ren, Jixiang¹ (AUTHOR); Li, Liangyu¹ (AUTHOR)

Subjects: *DATA augmentation; *DEEP learning; *REPRESENTATIONS of graphs

• Source: International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5976. 16p.

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Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification

• Authors : Jiang, Linfeng; Zhu, Yuan

Subjects: Quantitative Biology - Genomics; Computer Science - Information Theory

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