Inoculare 发表于 2025-3-21 19:42:48

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assail 发表于 2025-3-21 22:57:11

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枫树 发表于 2025-3-22 00:56:28

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abreast 发表于 2025-3-22 07:48:01

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Pandemic 发表于 2025-3-22 11:28:41

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知道 发表于 2025-3-22 16:36:22

iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data,s of transcriptomic and genomic data, based on a hierarchical Bayesian model. Through the specification of a measurement error model we relate the gene expression levels to latent copy number states which, in turn, are related to the observed surrogate CGH measurement via a hidden Markov model. Sele

hazard 发表于 2025-3-22 17:28:28

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anniversary 发表于 2025-3-22 21:14:45

Combining Single and Paired End RNA-seq Data for Differential Expression Analyses,re we show how RUVs, a recently published method for removing unwanted variation and normalizing RNA-seq data, can combine the counts of single and paired end read libraries from formalin fixed, paraffin embedded tumor samples to permit differential expression analysis. Seven other intra- or inter-p

没收 发表于 2025-3-23 01:48:45

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Aspirin 发表于 2025-3-23 08:24:56

Bayesian Feature Allocation Models for Tumor Heterogeneity,l of the organism or local environment. This process results in the often observed heterogeneity of tumor samples. We review some recent work on a new class of feature allocation models for statistical inference on this tumor heterogeneity. We use next-generation sequencing data. The developed metho
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查看完整版本: Titlebook: Statistical Analysis for High-Dimensional Data; The Abel Symposium 2 Arnoldo Frigessi,Peter Bühlmann,Marina Vannucci Conference proceedings