Showing : data integration • reset
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Joint pathway Analysis using both gene and metabolite data sets
data integration gene metabolite
5.1 years ago emisecherre • 0
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Job: Metabolomics Bioinformatics Postdoc Position at Steno Diabetes Center Copenhagen
metabolomics lipidomics clinical research data integration biostatistics Job
5.2 years ago Tommi Suvitaival ▴ 10
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Job: Bionformatician Position / Heidelberg
neuroscience data integration transcriptomics Job
6.1 years ago • updated 6.0 years ago slezak • 0
0
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Job: Research Fellow, Computational Multi-Omics of Cancer (University College London)
cancer multi-omics genomic instability machine learning data integration Job
6.1 years ago msecrier ▴ 20
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Job: Research Fellow, Computational Cancer Genomics (University College London)
cancer genomics machine learning data integration multi-omics Job
6.2 years ago msecrier ▴ 20
0
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28
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4.1k
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Job: Postdoc on integrating and analyzing new transcriptome types in the Bgee database
rnaseq data integration single-cell pacbio across species Job
7.1 years ago bgee • 0
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1.7k
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News: Pathview Web server published in NAR
pathway analysis visualization data integration omics pathview News
8.0 years ago Luo Weijun ★ 1.6k
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Job: PhD Position in Bioinformatics
bioinformatics protein variantannotation data integration Job
8.4 years ago stephan.pabinger • 0
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2.0k
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Job: Data scientist/bioinformatician - Paris
Genomics metabolomics biostatistics data integration Job
9.5 years ago David Enot ▴ 30
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2.0k
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Job: Research Scientist in Bioinformatics/Statistical Genomics, Max Planck Institute, Nijmegen, Netherlands
job rnaseq rna-seq genomics data integration Job
9.6 years ago clyde.francks • 0
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Possible(validated) methodology implemented in R for integrating and analyzing clinical data with gene expression data in R
data integration clinicaldata gene expression data PET
9.6 years ago svlachavas ▴ 840
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2.5k
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Job: Postdoctoral/Senior Scientist Position in New York City- Mount Sinai School of Medicine
genomics data integration job ngs computational biology Job
9.9 years ago supindab ▴ 10
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1.8k
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Machine learning methods for feature selection and possible correlation with clinical data
machinelearning clinicaldata biomarkers data integration bioconductor
10.0 years ago svlachavas ▴ 840
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Job: PhD position - Heidelberg: Bioinformatic analysis of high-throughput and image-based RNAi screening data
high-throughput screening RNAi image analysis data integration visualization Job
10.1 years ago e.schmidt ▴ 10
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Possible Data integration of molecular data(transcriptomic) and imaging data from the same patients in R
data integration microarray bioconductor affymetrix biomarkers
updated 10.1 years ago by ★ 13k • written 10.1 years ago by ▴ 840
15 results • Page 1 of 1
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Comment: GSEA preranked analysis downstream of DEseq2 by Ajay • 0
`logFC * -log10(pval)` seems to be the pi-score proposed in this [paper][1] [1]: https://pmc.ncbi.nlm.nih.gov/articles/PMC3957066/
Comment: error in ChAMP loading file by janwilseo • 0
Any update on this post? I also had an issue with this. [erosion control](https://charlestonhydroseeding.com/)
Answer: CluserProfiler message "No gene can be mapped" by James W. MacDonald 68k
Two things. First, the order of your term2gene is backwards (should be term and then gene, like the name), and by default `enricher` adjust…
Comment: Controlling for batch and estrus cycle using DESeq2 in RNA-seq analysis by donnycrimson • 0
One potential workaround might be to adjust for these factors using a combination of design matrices perhaps including batch as a covariate…
Comment: DESeq2 Design controlling for gender by donnycrimson • 0
On a lighter note, while you are tackling such complex data, you might enjoy a quick break playing the [Slope Game](https://slopegame.lol)…
Votes
DiffBind; Error: No sites have activity greater than filter value
remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
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