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29 results for RNA-Seq+-+statistics+

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On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments
Author / Creator:Takele Assefa, Alemu ; Vandesompele, Jo ; Thas, Olivier
Publisher:England: BioMed Central Ltd
Journal title:BMC genomics, 2020-04, Vol.21 (1), p.312-312, Article 312
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An augmented GSNMF model for complete deconvolution of bulk RNA-seq data
Author / Creator:Li, Shaoyu ; Xu, Su ; Wang, Xue ; Ertekin-Taner, Nilüfer ; Chen, Duan
Publisher:United States: AIMS Press
Journal title:Mathematical biosciences and engineering : MBE, 2025-03, Vol.22 (4), p.988-1018
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SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data
Author / Creator:Qi, Jing ; Zhou, Yang ; Zhao, Zicen ; Jin, Shuilin
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2021-06, Vol.17 (6), p.e1009118-e1009118
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Microarray is an efficient tool for circRNA profiling
Author / Creator:Li, Shasha ; Teng, Shuaishuai ; Xu, Junquan ; Su, Guannan ; Zhang, Yu ; Zhao, Jianqing ; Zhang, Suwei ; Wang, Haiyan ; Qin, Wenyan ; Lu, Zhi John ; Guo, Yong ; Zhu, Qianyong ; Wang, Dong
Publisher:England: Oxford University Press
Journal title:Briefings in bioinformatics, 2019-07, Vol.20 (4), p.1420-1433
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Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data
Author / Creator:Yip, Shun H ; Sham, Pak Chung ; Wang, Junwen
Publisher:England: Oxford University Press
Journal title:Briefings in bioinformatics, 2019-07, Vol.20 (4), p.1583-1589
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Replicability of bulk RNA-Seq differential expression and enrichment analysis results for small cohort sizes
Author / Creator:Degen, Peter Methys ; Medo, Matúš
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2025-05, Vol.21 (5), p.e1011630
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scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
Author / Creator:Zou, Zhiyi ; Liu, Ying ; Bai, Yuting ; Luo, Jiawei ; Zhang, Zhaolei
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2025-04, Vol.21 (4), p.e1012904
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How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
Author / Creator:Dal Molin, Alessandra ; Di Camillo, Barbara
Publisher:England: Oxford University Press
Journal title:Briefings in bioinformatics, 2019-07, Vol.20 (4), p.1384-1394
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scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data
Author / Creator:Wei, Xiaopeng ; Wu, Jingli ; Li, Gaoshi ; Liu, Jiafei ; Wu, Xi ; He, Chang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2025-04, Vol.21 (4), p.e1012924
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Twelve quick steps for genome assembly and annotation in the classroom
Author / Creator:Jung, Hyungtaek ; Ventura, Tomer ; Chung, J. Sook ; Kim, Woo-Jin ; Nam, Bo-Hye ; Kong, Hee Jeong ; Kim, Young-Ok ; Jeon, Min-Seung ; Eyun, Seong-il
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2020-11, Vol.16 (11), p.e1008325-e1008325
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Penalised regression improves imputation of cell-type specific expression using RNA-seq data from mixed cell populations compared to domain-specific methods
Author / Creator:Lin, Wei-Yu ; Kartawinata, Melissa ; Jebson, Bethany R. ; Restuadi, Restuadi ; Peckham, Hannah ; Radziszewska, Anna ; Deakin, Claire T. ; Ciurtin, Coziana ; Wedderburn, Lucy R. ; Wallace, Chris
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2025-03, Vol.21 (3), p.e1012859
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Machine learning uncovers cell identity regulator by histone code
Author / Creator:Xia, Bo ; Zhao, Dongyu ; Wang, Guangyu ; Zhang, Min ; Lv, Jie ; Tomoiaga, Alin S. ; Li, Yanqiang ; Wang, Xin ; Meng, Shu ; Cooke, John P. ; Cao, Qi ; Zhang, Lili ; Chen, Kaifu
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-06, Vol.11 (1), p.2696-2696, Article 2696
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scBoolSeq: Linking scRNA-seq statistics and Boolean dynamics
Author / Creator:Magaña-López, Gustavo ; Calzone, Laurence ; Zinovyev, Andrei ; Paulevé, Loïc
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2024-07, Vol.20 (7), p.e1011620-25
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Cancer classification based on chromatin accessibility profiles with deep adversarial learning model
Author / Creator:Yang, Hai ; Wei, Qiang ; Li, Dongdong ; Wang, Zhe
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2020-11, Vol.16 (11), p.e1008405-e1008405
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High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis
Author / Creator:Cui, Weitong ; Xue, Huaru ; Wei, Lei ; Jin, Jinghua ; Tian, Xuewen ; Wang, Qinglu
Publisher:England: BioMed Central
Journal title:Human genomics, 2021-01, Vol.15 (1), p.7-9, Article 7
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Immune transcriptomes of highly exposed SARS-CoV-2 asymptomatic seropositive versus seronegative individuals from the Ischgl community
Author / Creator:Lee, Hye Kyung ; Knabl, Ludwig ; Pipperger, Lisa ; Volland, Andre ; Furth, Priscilla A. ; Kang, Keunsoo ; Smith, Harold E. ; Knabl, Ludwig ; Bellmann, Romuald ; Bernhard, Christina ; Kaiser, Norbert ; Gänzer, Hannes ; Ströhle, Mathias ; Walser, Andreas ; von Laer, Dorothee ; Hennighausen, Lothar
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-02, Vol.11 (1), p.4243-10, Article 4243
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A graph-based algorithm for RNA-seq data normalization
Author / Creator:Tran, Diem-Trang ; Bhaskara, Aditya ; Kuberan, Balagurunathan ; Might, Matthew
Publisher:United States: Public Library of Science
Journal title:PloS one, 2020-01, Vol.15 (1), p.e0227760-e0227760
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Dedicated transcriptomics combined with power analysis lead to functional understanding of genes with weak phenotypic changes in knockout lines
Author / Creator:Xie, Chen ; Bekpen, Cemalettin ; Künzel, Sven ; Keshavarz, Maryam ; Krebs-Wheaton, Rebecca ; Skrabar, Neva ; Ullrich, Kristian K. ; Zhang, Wenyu ; Tautz, Diethard
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2020-11, Vol.16 (11), p.e1008354-e1008354
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Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation
Author / Creator:Chen, Liang ; Zhai, Yuyao ; He, Qiuyan ; Wang, Weinan ; Deng, Minghua
Publisher:Switzerland: MDPI AG
Journal title:Genes, 2020-07, Vol.11 (7), p.792
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Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression
Author / Creator:Park, Sangick ; Huang, Eunchong ; Ahn, Taejin
Publisher:Switzerland: MDPI AG
Journal title:International journal of molecular sciences, 2021-10, Vol.22 (21), p.11531
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Showing 1 to 20 of 29 results

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On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

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An augmented GSNMF model for complete deconvolution of bulk RNA-seq data

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SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data

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Microarray is an efficient tool for circRNA profiling

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Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data

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Replicability of bulk RNA-Seq differential expression and enrichment analysis results for small cohort sizes

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scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data

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How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives

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scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data

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Twelve quick steps for genome assembly and annotation in the classroom

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Penalised regression improves imputation of cell-type specific expression using RNA-seq data from mixed cell populations compared to domain-specific methods

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Machine learning uncovers cell identity regulator by histone code

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scBoolSeq: Linking scRNA-seq statistics and Boolean dynamics

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Cancer classification based on chromatin accessibility profiles with deep adversarial learning model

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High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis

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Immune transcriptomes of highly exposed SARS-CoV-2 asymptomatic seropositive versus seronegative individuals from the Ischgl community

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A graph-based algorithm for RNA-seq data normalization

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Dedicated transcriptomics combined with power analysis lead to functional understanding of genes with weak phenotypic changes in knockout lines

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Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

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Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression

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