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  • 1-10 ل  280 نتائج ل ""Single cell analysis""

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Publication : plos computational biology
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Academic Journal

HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis.

  • Authors : Anibal J; Immunodynamics section, Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, Maryland, United States of America.; Day AG

Subjects: Algorithms* ; Single-Cell Analysis*; Cluster Analysis

  • Source: PLoS computational biology [PLoS Comput Biol] 2022 Oct 03; Vol. 18 (10), pp. e1010349. Date of Electronic Publication: 2022 Oct 03 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Mcadet: A feature selection method for fine-resolution single-cell RNA-seq data based on multiple correspondence analysis and community detection.

  • Authors : Cui S; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America.; Nassiri S

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/statistics & numerical data ; RNA-Seq*/RNA-Seq*/RNA-Seq*/methods

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Oct 28; Vol. 20 (10), pp. e1012560. Date of Electronic Publication: 2024 Oct 28 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense.

  • Authors : Lause J; Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany.; Tübingen AI Center, University of Tübingen, Tübingen, Germany.

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/statistics & numerical data ; Computational Biology*/Computational Biology*/Computational Biology*/methods

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Oct 02; Vol. 20 (10), pp. e1012403. Date of Electronic Publication: 2024 Oct 02 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Hierarchical marker genes selection in scRNA-seq analysis.

  • Authors : Sun Y; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.; Qiu P

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Sequence Analysis, RNA*/Sequence Analysis, RNA*/Sequence Analysis, RNA*/methods ; Computational Biology*/Computational Biology*/Computational Biology*/methods

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Dec 12; Vol. 20 (12), pp. e1012643. Date of Electronic Publication: 2024 Dec 12 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy.

  • Authors : Sun R; School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan, Hubei, China.; Center for Applied Mathematics and Interdisciplinary Studies, Wuhan Textile University, Wuhan, Hubei, China.

Subjects: Cell Differentiation*/Cell Differentiation*/Cell Differentiation*/genetics ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Gene Regulatory Networks*/Gene Regulatory Networks*/Gene Regulatory Networks*/genetics

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Nov 25; Vol. 20 (11), pp. e1012638. Date of Electronic Publication: 2024 Nov 25 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Computational Biology*/Computational Biology*/Computational Biology*/methods ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Nov 11; Vol. 20 (11), pp. e1012547. Date of Electronic Publication: 2024 Nov 11 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

scCaT: An explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing.

  • Authors : Zheng X; School of Computing and Information Technology, Great Bay University, Guangdong, China.; Department of Critical Care Medicine, Shenzhen People's Hospital, the First Affiliated Hospital of Southern University of Science and Technology, the Second Clinical Medicine College of Jinan University, Shenzhen, China.

Subjects: Sepsis*/Sepsis*/Sepsis*/diagnosis ; Sepsis*/Sepsis*/Sepsis*/genetics ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Oct 21; Vol. 20 (10), pp. e1012083. Date of Electronic Publication: 2024 Oct 21 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.

  • Authors : Qian Y; Institute Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/statistics & numerical data ; Algorithms*

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Aug 08; Vol. 20 (8), pp. e1012339. Date of Electronic Publication: 2024 Aug 08 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data.

  • Authors : Zhao F; Department of Biostatistics, University of Florida, Gainesville, Florida, United States of America.; Ma X

Subjects: Chromatin*/Chromatin*/Chromatin*/genetics ; Chromatin*/Chromatin*/Chromatin*/metabolism ; Chromatin*/Chromatin*/Chromatin*/chemistry

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Aug 02; Vol. 20 (8), pp. e1011854. Date of Electronic Publication: 2024 Aug 02 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

scBoolSeq: Linking scRNA-seq statistics and Boolean dynamics.

Subjects: Computational Biology*/Computational Biology*/Computational Biology*/methods ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/statistics & numerical data

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Jul 08; Vol. 20 (7), pp. e1011620. Date of Electronic Publication: 2024 Jul 08 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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  • 1-10 ل  280 نتائج ل ""Single cell analysis""