Showing : data integration • reset
2
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4
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965
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Joint pathway Analysis using both gene and metabolite data sets
data integration gene metabolite
4.1 years ago emisecherre • 0
1
vote
0
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787
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Job: Metabolomics Bioinformatics Postdoc Position at Steno Diabetes Center Copenhagen
metabolomics lipidomics clinical research data integration biostatistics Job
4.3 years ago Tommi Suvitaival ▴ 10
0
votes
0
replies
930
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Job: Bionformatician Position / Heidelberg
neuroscience data integration transcriptomics Job
5.1 years ago • updated 5.0 years ago slezak • 0
0
votes
0
replies
1.0k
views
Job: Research Fellow, Computational Multi-Omics of Cancer (University College London)
cancer multi-omics genomic instability machine learning data integration Job
5.1 years ago msecrier ▴ 20
2
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0
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995
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Job: Research Fellow, Computational Cancer Genomics (University College London)
cancer genomics machine learning data integration multi-omics Job
5.3 years ago msecrier ▴ 20
0
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28
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3.2k
views
Job: Postdoc on integrating and analyzing new transcriptome types in the Bgee database
rnaseq data integration single-cell pacbio across species Job
6.1 years ago bgee • 0
0
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0
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1.4k
views
News: Pathview Web server published in NAR
pathway analysis visualization data integration omics pathview News
7.0 years ago Luo Weijun ★ 1.6k
0
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0
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1.2k
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Job: PhD Position in Bioinformatics
bioinformatics protein variantannotation data integration Job
7.5 years ago stephan.pabinger • 0
0
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0
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1.8k
views
Job: Data scientist/bioinformatician - Paris
Genomics metabolomics biostatistics data integration Job
8.5 years ago David Enot ▴ 30
0
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0
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1.7k
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Job: Research Scientist in Bioinformatics/Statistical Genomics, Max Planck Institute, Nijmegen, Netherlands
job rnaseq rna-seq genomics data integration Job
8.6 years ago clyde.francks • 0
0
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0
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1.2k
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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
8.6 years ago svlachavas ▴ 830
1
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0
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2.2k
views
Job: Postdoctoral/Senior Scientist Position in New York City- Mount Sinai School of Medicine
genomics data integration job ngs computational biology Job
8.9 years ago supindab ▴ 10
0
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0
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1.6k
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Machine learning methods for feature selection and possible correlation with clinical data
machinelearning clinicaldata biomarkers data integration bioconductor
9.0 years ago svlachavas ▴ 830
1
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0
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1.9k
views
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
9.1 years ago e.schmidt ▴ 10
0
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2
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1.6k
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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 9.2 years ago by ★ 13k • written 9.2 years ago by ▴ 830
15 results • Page 1 of 1
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Comment: SGSeq: moving toward diffex from SGSeq analysis by Sara • 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Poonam • 0
I tried different block lengths first and considered 100000 to be ideal because of the almost similar inter-range distance. S1= bootRange…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 41k
The segmentation and block length are key parameters. We recommend for example blocks of length ~500kb. It would help if you would post yo…
Answer: Handling multiple differential expression comparisons by Michael Love 41k
It's typical that results are presented with each group having its own FDR control. So presenting each comparison with the adjusted p-va…
Comment: Too many significant genes when integrating gtex and tcga by ATpoint ★ 4.1k
These two datasets are from completely different experiments / batches. It is utterly meaningless to compare them. I would suggest comparat…
Votes
Print Differentially Expressed Exons From Dexseq Results
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
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