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  • 1-10 ل  683 نتائج ل ""single-cell gene expression analysis""

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Academic Journal

Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis.

  • Authors : Singh A; Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA. .; Khiabanian H

Subjects: Gene Expression Profiling*/Gene Expression Profiling*/Gene Expression Profiling*/methods ; Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/methods; Humans

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Jul 30; Vol. 25 (1), pp. 248. Date of Electronic Publication: 2024 Jul 30.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Biology (General)

  • Source: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-42 (2024)

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Academic Journal

scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis.

  • Authors : Nale V; Institute of Biomedical Technologies, National Research Council, Via Fratelli Cervi 93, 20054, Segrate, Milan, Italy.; Chiodi A

Subjects: DNA Copy Number Variations* ; Neoplasms*/Neoplasms*/Neoplasms*/genetics; Humans

  • Source: BMC bioinformatics [BMC Bioinformatics] 2023 Nov 27; Vol. 24 (1), pp. 445. Date of Electronic Publication: 2023 Nov 27.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis

Subjects: Single-cell transcriptomics; Cancer; Tumor heterogeneity

  • Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)

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Academic Journal

Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.

  • Authors : Fang Y; Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.; Chen J

Subjects: Central Nervous System*/Central Nervous System*/Central Nervous System*/cytology ; Single-Cell Gene Expression Analysis* ; Supervised Machine Learning*

  • Source: Communications biology [Commun Biol] 2024 Sep 10; Vol. 7 (1), pp. 1107. Date of Electronic Publication: 2024 Sep 10.Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 101719179 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

COMSE: analysis of single-cell RNA-seq data using community detection-based feature selection.

  • Authors : Luo Q; Department of Basic Medical Science, School of Medicine, Tsinghua University, Beijing, 100084, China.; MOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing, 100084, China.

Subjects: RNA-Seq*/RNA-Seq*/RNA-Seq*/methods ; Single-Cell Gene Expression Analysis*; Animals

  • Source: BMC biology [BMC Biol] 2024 Aug 07; Vol. 22 (1), pp. 167. Date of Electronic Publication: 2024 Aug 07.Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007

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Academic Journal

Single-cell transcriptome analysis deciphers the CD74-mediated immune evasion and tumour growth in lung squamous cell carcinoma with chronic obstructive pulmonary disease.

  • Authors : Wang D; Precision Medicine Research Center, Precision Medicine Key Laboratory of Sichuan Province, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.; Department of Respiratory and Critical Care Medicine, Precision Medicine Center, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Subjects: Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/genetics ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/immunology ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/pathology

  • Source: Clinical and translational medicine [Clin Transl Med] 2024 Aug; Vol. 14 (8), pp. e1786.Publisher: Wiley Country of Publication: United States NLM ID: 101597971 Publication Model: Print Cited Medium: Internet ISSN: 2001-1326

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Academic Journal

Deep Batch Integration and Denoise of Single-Cell RNA-Seq Data.

  • Authors : Qin L; College of Computer and Information Engineering, Tianjin Normal University, Tianjin, 300387, China.; Zhang G

Subjects: RNA-Seq*/RNA-Seq*/RNA-Seq*/methods ; Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/methods; Humans

  • Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Aug; Vol. 11 (29), pp. e2308934. Date of Electronic Publication: 2024 May 22.Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844

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Academic Journal

scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data.

  • Authors : Liu Z; Aulin College, Northeast Forestry University 150040, 26 Hexing Road, Xiangfang District, Harbin, China.; Liang Y

Subjects: RNA-Seq*/RNA-Seq*/RNA-Seq*/methods ; Single-Cell Gene Expression Analysis*; Humans

  • Source: Briefings in bioinformatics [Brief Bioinform] 2024 Jul 25; Vol. 25 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge.

  • Authors : Chen H; School of Computer Science and Engineering, Sun Yat-sen University, 132 Waihuan East Road, Guangzhou University Town, 510006, Guangzhou, China.; Lu Y

Subjects: Deep Learning* ; RNA-Seq*/RNA-Seq*/RNA-Seq*/methods ; Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/Single-Cell Gene Expression Analysis*/methods

  • Source: Briefings in bioinformatics [Brief Bioinform] 2024 May 23; Vol. 25 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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  • 1-10 ل  683 نتائج ل ""single-cell gene expression analysis""