transcriptome data (Broad Institute Inc)
Structured Review
Transcriptome Data, supplied by Broad Institute 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/transcriptomic+data/transcriptome+data/pmc10973470-371-0-15
Average 90 stars, based on 1 article reviews
Images
Related Articles
other:Article Title: CardiOmics signatures reveal therapeutically actionable targets and drugs for cardiovascular diseases Article Snippet: To extend this field, we implemented an exhaustive integration of three transcriptomic datasets related to various heart diseases, all sourced from the Broad Institute's Single Cell Portal. Software:Article Title: Synthetic biology approach revealed enhancement in haeme oxygenase-1 gene expression by codon pair optimization while reduction by codon deoptimization Article Snippet: .. The software uses Expressing:Article Title: Synthetic biology approach revealed enhancement in haeme oxygenase-1 gene expression by codon pair optimization while reduction by codon deoptimization Article Snippet: .. The software uses Gene Expression:Article Title: HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics Article Snippet: .. Article Title: A transcriptomic intratumour heterogeneity-free signature overcomes sampling bias in prognostic risk classification for hepatocellular carcinoma Article Snippet: For the MultiRArray cohort, raw CEL files of Agilent 4×44 K Whole Human Genome Oligo microarrays were downloaded from the NCBI's Gene Expression Omnibus (GEO) (accession number: GSE92528; Platform: GPL6480; https://www.ncbi.nlm.nih.gov/geo/). .. HCC cohorts with survival information and gene expression data For the TCGA-LIHC cohort, |
![a) Log 2 ([elevated temperature/control] average total accumulation) of metabolic categories (n≥3) at six different seed developmental stages. b) Untargeted metabolomic data statistical analysis. c) Differentially accumulated metabolic features during seed development. d) Number of major metabolic categories (Flavonoids, Cinnamic acids and derivatives, and Glucosinolates) induced by elevated temperature at each seed developmental stage. e) <t>Transcriptomic</t> data statistical analysis. f) Differentially expressed genes during seed development. g) Percentages of genes coding for enzymes putatively involved in specialized metabolite modifications (Acyltransferases, Glycosyltransferases, Hydroxylases and Methyltransferases) induced, and repressed, at each seed developmental stage by elevated temperature.](https://bio-rxiv-images-cdn.bioz.com/dois_ending_with_04/10__64898_slash_2026__06__03__729804/10__64898_slash_2026__06__03__729804___F1.large.jpg)