dna methylation data derived from whole blood samples assayed using the illumina 450k array (Illumina Inc)
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dna methylation data derived from whole blood samples assayed using the illumina 450k array
Dna Methylation Data Derived From Whole Blood Samples Assayed Using The Illumina 450k Array, supplied by Illumina Inc, 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/methylation+array+data/illumina+arrays/med_rxiv__2025__07__14__25331527-48-19-19
Average 90 stars, based on 1 article reviews
Dna Methylation Data Derived From Whole Blood Samples Assayed Using The Illumina 450k Array, supplied by Illumina Inc, 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/methylation+array+data/illumina+arrays/med_rxiv__2025__07__14__25331527-48-19-19
Average 90 stars, based on 1 article reviews
dna methylation data derived from whole blood samples assayed using the illumina 450k array - by Bioz Stars,
2026-10
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Methylation:Article Title: A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework Article Snippet: .. First, Article Title: MyeloDB: a multi-omics resource for multiple myeloma. Article Snippet: The Illumina high-throughput sequencing data containing raw count, RPKM (reads per kilobase of transcript per million reads mapped), or FPKM (fragments per kilobase of transcript per million reads mapped values) were obtained and subsequently transformed into transcripts per million (TPM) values to facilitate downstream analysis. c) Agilent: For Agilent expression profiling data, we downloaded raw files using the GEOquery package and then background-corrected and quantile-normalized the values. .. These expression values were merged with the clinical data which we downloaded using getGEO() in R. Finally, a matrix file in CSV format is generated which can be downloaded through our database. d) Methylation data: In case of Article Title: A multi-omics data analysis workflow packaged as a FAIR Digital Object. Article Snippet: .. Sinke L, van Iterson M, Cats D, et al. DNAmArr ay: str eamlined w orkflo w for the quality control, normalization, and analysis of Article Title: A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework. Article Snippet: .. First, Article Title: Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations Article Snippet: .. There are relatively few publicly available data sets with both Article Title: Technical and biological sources of unreliability of Infinium probes on Illumina methylation microarrays. Article Snippet: .. In summary, we developed a new computational method to further refine existing preprocessing methods for Article Title: Droplet digital PCR: An effective method for monitoring and prognostic evaluation of minimal residual disease in JMML. Article Snippet: Juvenile myelomonocytic leukaemia (JMML) is a rare malignant myeloproliferative neoplasm, predominantly afflicting the paediatric population.. More than 90% of JMML cases carry a mutation in RAS pathway genes, with PTPN11 mutations being the most common.1,2 Due to the limitations of effective therapeutic strategies, haematopoietic stem cell transplantation (HSCT) remains the only curative option for JMML.3 Relapse is the primary factor contributing to HSCT failure, with a rate of approximately 32%–50%.3–5 A majority of patients relapse within a year of HSCT, with a median relapse time of 2–4 months.4,6,7 Therefore, dynamic monitoring of minimal residual disease (MRD) level and timely intervention may improve the prognosis.8 In most JMML patients, identifying leukaemic cells relies on their molecular characteristics rather than their cytological features due to the lack of reliable immune markers.. O R I G I N A L P A P E R Article Title: Pan-cancer integrated bioinformatic analysis of RNA polymerase subunits reveal RNA Pol I member CD3EAP regulates cell growth by modulating autophagy. Article Snippet: Transcription is a crucial stage in gene expression.. An integrated study of 34 RNA polymerase subunits (RNAPS) in the six most frequent cancer types identified several genetic and epigenetic modification.. We discovered nine mutant RNAPS with a mutation frequency of more than 1% in at least one tumor type. Expressing:Article Title: MyeloDB: a multi-omics resource for multiple myeloma. Article Snippet: The Illumina high-throughput sequencing data containing raw count, RPKM (reads per kilobase of transcript per million reads mapped), or FPKM (fragments per kilobase of transcript per million reads mapped values) were obtained and subsequently transformed into transcripts per million (TPM) values to facilitate downstream analysis. c) Agilent: For Agilent expression profiling data, we downloaded raw files using the GEOquery package and then background-corrected and quantile-normalized the values. .. These expression values were merged with the clinical data which we downloaded using getGEO() in R. Finally, a matrix file in CSV format is generated which can be downloaded through our database. d) Methylation data: In case of Generated:Article Title: MyeloDB: a multi-omics resource for multiple myeloma. Article Snippet: The Illumina high-throughput sequencing data containing raw count, RPKM (reads per kilobase of transcript per million reads mapped), or FPKM (fragments per kilobase of transcript per million reads mapped values) were obtained and subsequently transformed into transcripts per million (TPM) values to facilitate downstream analysis. c) Agilent: For Agilent expression profiling data, we downloaded raw files using the GEOquery package and then background-corrected and quantile-normalized the values. .. These expression values were merged with the clinical data which we downloaded using getGEO() in R. Finally, a matrix file in CSV format is generated which can be downloaded through our database. d) Methylation data: In case of Control:Article Title: A multi-omics data analysis workflow packaged as a FAIR Digital Object. Article Snippet: .. Sinke L, van Iterson M, Cats D, et al. DNAmArr ay: str eamlined w orkflo w for the quality control, normalization, and analysis of Sequencing:Article Title: A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework. Article Snippet: .. First, Gene Expression:Article Title: Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations Article Snippet: .. There are relatively few publicly available data sets with both DNA Methylation Assay:Article Title: Droplet digital PCR: An effective method for monitoring and prognostic evaluation of minimal residual disease in JMML. Article Snippet: Juvenile myelomonocytic leukaemia (JMML) is a rare malignant myeloproliferative neoplasm, predominantly afflicting the paediatric population.. More than 90% of JMML cases carry a mutation in RAS pathway genes, with PTPN11 mutations being the most common.1,2 Due to the limitations of effective therapeutic strategies, haematopoietic stem cell transplantation (HSCT) remains the only curative option for JMML.3 Relapse is the primary factor contributing to HSCT failure, with a rate of approximately 32%–50%.3–5 A majority of patients relapse within a year of HSCT, with a median relapse time of 2–4 months.4,6,7 Therefore, dynamic monitoring of minimal residual disease (MRD) level and timely intervention may improve the prognosis.8 In most JMML patients, identifying leukaemic cells relies on their molecular characteristics rather than their cytological features due to the lack of reliable immune markers.. O R I G I N A L P A P E R Article Title: Pan-cancer integrated bioinformatic analysis of RNA polymerase subunits reveal RNA Pol I member CD3EAP regulates cell growth by modulating autophagy. Article Snippet: Transcription is a crucial stage in gene expression.. An integrated study of 34 RNA polymerase subunits (RNAPS) in the six most frequent cancer types identified several genetic and epigenetic modification.. We discovered nine mutant RNAPS with a mutation frequency of more than 1% in at least one tumor type. |