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Partek expectation maximization (em) algorithm
Expectation Maximization (Em) Algorithm, supplied by Partek, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/expectation-maximization+(em)+algorithm/e+m+algorithm/pmc10182479-107-12-11
Average 90 stars, based on 1 article reviews
expectation maximization (em) algorithm - by Bioz Stars, 2026-09
90/100 stars

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Generated:

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK
Article Snippet: Gene counts were quantified using a modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek Genomics pipeline [ ].

Article Title: Multi-drug resistant Staphylococcus epidermidis from chronic wounds impair healing in human wound model.
Article Snippet: Reads were aligned to the reference libraries using STAR-2.7.8a, filtered to remove the duplicates, and quantified using the Partek Expectation/Maximisation algorithm.

Article Title: Long non-coding RNAS (LNCRNAS) for the diagnosis and therapeutics of brain disorders, in particular cognitive disorders
Article Snippet: The mapped reads were quantified using the GTF file with the patented lncRNA annotation for quantification using the Partek Expectation/Maximization (E/M) algorithm (Xing Y. et al, 2006).

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK.
Article Snippet: Gene counts were quantified using a 368 modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek 369 Genomics pipeline) [47].

Article Title: Histone H3 N-terminal recognition by the PHD finger of PHRF1 is required for proper DNA damage response
Article Snippet: Transcript quantification utilized the Partek E/M algorithm within Partek Flow.

Article Title: Optimizing RNA extraction methods for high-throughput transcriptome sequencing of formalin-fixed paraffin-embedded cardiac tissue specimens.
Article Snippet: The BAM files were also used for rRNA quantification, calculated using the percentage of the total mapped reads using the Partek E/M algorithm.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents.
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation- PLOS ONE | https://doi.org/10.1371/journal.pone.0316128 December 23, 2024 3 / 12 Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation-Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.

Control:

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK
Article Snippet: Gene counts were quantified using a modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek Genomics pipeline [ ].

Article Title: Multi-drug resistant Staphylococcus epidermidis from chronic wounds impair healing in human wound model.
Article Snippet: Reads were aligned to the reference libraries using STAR-2.7.8a, filtered to remove the duplicates, and quantified using the Partek Expectation/Maximisation algorithm.

Article Title: Long non-coding RNAS (LNCRNAS) for the diagnosis and therapeutics of brain disorders, in particular cognitive disorders
Article Snippet: The mapped reads were quantified using the GTF file with the patented lncRNA annotation for quantification using the Partek Expectation/Maximization (E/M) algorithm (Xing Y. et al, 2006).

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK.
Article Snippet: Gene counts were quantified using a 368 modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek 369 Genomics pipeline) [47].

Article Title: Histone H3 N-terminal recognition by the PHD finger of PHRF1 is required for proper DNA damage response
Article Snippet: Transcript quantification utilized the Partek E/M algorithm within Partek Flow.

Article Title: Optimizing RNA extraction methods for high-throughput transcriptome sequencing of formalin-fixed paraffin-embedded cardiac tissue specimens.
Article Snippet: The BAM files were also used for rRNA quantification, calculated using the percentage of the total mapped reads using the Partek E/M algorithm.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents.
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation- PLOS ONE | https://doi.org/10.1371/journal.pone.0316128 December 23, 2024 3 / 12 Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation-Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.

Expressing:

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK
Article Snippet: Gene counts were quantified using a modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek Genomics pipeline [ ].

Article Title: Multi-drug resistant Staphylococcus epidermidis from chronic wounds impair healing in human wound model.
Article Snippet: Reads were aligned to the reference libraries using STAR-2.7.8a, filtered to remove the duplicates, and quantified using the Partek Expectation/Maximisation algorithm.

Article Title: Long non-coding RNAS (LNCRNAS) for the diagnosis and therapeutics of brain disorders, in particular cognitive disorders
Article Snippet: The mapped reads were quantified using the GTF file with the patented lncRNA annotation for quantification using the Partek Expectation/Maximization (E/M) algorithm (Xing Y. et al, 2006).

Article Title: LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK.
Article Snippet: Gene counts were quantified using a 368 modified form of the Expectation/Maximization algorithm (Partek E/M) which is part of Partek 369 Genomics pipeline) [47].

Article Title: Histone H3 N-terminal recognition by the PHD finger of PHRF1 is required for proper DNA damage response
Article Snippet: Transcript quantification utilized the Partek E/M algorithm within Partek Flow.

Article Title: Optimizing RNA extraction methods for high-throughput transcriptome sequencing of formalin-fixed paraffin-embedded cardiac tissue specimens.
Article Snippet: The BAM files were also used for rRNA quantification, calculated using the percentage of the total mapped reads using the Partek E/M algorithm.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents.
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation- PLOS ONE | https://doi.org/10.1371/journal.pone.0316128 December 23, 2024 3 / 12 Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.

Article Title: Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents
Article Snippet: Total RNA data processing comprised standard read quality control, alignment to the human genome using the STAR aligner (v2.5.3a), gene-based feature counting using the Partek Expectation-Maximization algorithm, and removal of outliers detected via principal component analysis (PCA). mRNA genes with low expression (counts per million (CPM) < 1.5 in at least 75% of samples) were removed from the analyses and the data were TMM-normalized.



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