Showing : proteomics • reset
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Off topic - JOB
SNP Sequencing Proteomics SNP Sequencing Proteomics
updated 17.8 years ago by ▴ 70 • written 17.8 years ago by ★ 1.1k
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How to retrieve environment variables from custom build annotation packages
Proteomics Annotation convert Proteomics Annotation convert
updated 17.9 years ago by ★ 13k • written 17.9 years ago by ▴ 130
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Query about the conditional hypergeometric test in GOstats package
Proteomics Proteomics
updated 18.0 years ago by 68k • written 18.0 years ago by ▴ 130
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Bioinformatics positions
Microarray Genetics Proteomics Epigenetics Microarray Genetics Proteomics Epigenetics
18.0 years ago French, Jef NIH/NIEHS ▴ 30
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1
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1000
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How to load annotation package dynamically?
Microarray Proteomics Annotation GO Microarray Proteomics Annotation GO
updated 18.0 years ago by 68k • written 18.0 years ago by ▴ 130
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Problems with k-cliq definition and calculations using RBGL package
Proteomics graph RBGL Proteomics graph RBGL
18.1 years ago Chanchal Kumar ▴ 130
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from RefSeq to GO terms / gene symbol to geneID
Proteomics Coverage Annotation GO Proteomics Coverage Annotation GO
18.4 years ago Simon Lin ▴ 270
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from RefSeq GI protein identifiers to GO terms
Proteomics Coverage GO Proteomics Coverage GO
18.4 years ago Lina Hultin-Rosenberg ▴ 80
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2
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1.2k
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Permutation of a data.frame
Proteomics Proteomics
updated 18.5 years ago by ▴ 310 • written 18.5 years ago by ▴ 70
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LAST ANNOUNCEMENT: CSAMA'07 [COURSE]
Microarray Proteomics Preprocessing Cancer Microarray Proteomics Preprocessing Cancer
18.6 years ago stefano iacus ▴ 430
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Re-announcement: Statistical Analysis of Metabonomic and Proteomic Data - MOLPAGE Training WorkPackage Series
Proteomics Proteomics
18.7 years ago Brian D M Tom ▴ 50
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1.2k
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Microarray / HT Biology Position in South Africa
Microarray Proteomics Microarray Proteomics
18.8 years ago Wolfgang Huber ★ 13k
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[COURSE ANNOUNCEMENT] CSAMA'07
Microarray Proteomics Preprocessing Cancer Microarray Proteomics Preprocessing Cancer
18.8 years ago stefano iacus ▴ 430
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job - computational biology position at Vertex Pharmaceuticals, Boston
Proteomics Proteomics
18.8 years ago Brian Hare ▴ 30
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3
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1.4k
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Using CDF file on affylmGUI
Proteomics GO affylmGUI Proteomics GO affylmGUI
updated 19.0 years ago by ▴ 450 • written 19.0 years ago by ▴ 70
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job ad: position in UCSF Biostatistics
Proteomics Proteomics
19.1 years ago Fridlyand, Jane ▴ 30
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3
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1.4k
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multtest error - class label problem
Proteomics Proteomics
updated 19.4 years ago by ▴ 10 • written 19.4 years ago by ▴ 20
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[COURSE] CSAMA'06, few places available
Microarray Proteomics Preprocessing Cancer Microarray Proteomics Preprocessing Cancer
19.5 years ago stefano iacus ▴ 430
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1.2k
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High-Throughput Data Analysis Course Announcement: Cold Spring Harbor Labs - June 14-27
SNP Microarray Proteomics Normalization Classification Cancer CGH Yeast SNP Microarray
19.7 years ago Mark Reimers ▴ 70
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COURSE: Computational and Statistical Aspects of Microarray Analysis (IV)
Microarray Proteomics Normalization Preprocessing Cancer Microarray Proteomics Cancer
19.8 years ago stefano iacus ▴ 430
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942
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A large -omics data set
Proteomics Proteomics
20.3 years ago Simon Lin ▴ 210
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Jobs: Post-doctoral research in Statistical Genomics, Oxford University
Proteomics Proteomics
20.6 years ago Chris Holmes ▴ 10
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1.9k
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getBioC and install.packages2 fail
Proteomics reposTools Proteomics reposTools
updated 20.6 years ago by ★ 7.4k • written 20.6 years ago by ▴ 210
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MEETING: 17 May - Genes, populations & disease: genomic, proteomic & metabonomic approaches in epidemiology
Genetics Proteomics Genetics Proteomics
20.8 years ago Gilthorpe, Mark S ▴ 10
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1.4k
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[COURSE REMINDER] Computational and Statistical Aspects of Microarray Analysis
Microarray Proteomics Normalization Preprocessing Cancer Microarray Proteomics Cancer
20.8 years ago stefano iacus ▴ 430
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3.0k
views
GenomeViz again : corrected link
Proteomics genomes Proteomics genomes
updated 20.8 years ago by ▴ 210 • written 20.8 years ago by ▴ 80
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[COURSE] Computational and Statistical Aspects of Microarray Analysis (III)
Microarray Proteomics Normalization Preprocessing Cancer Microarray Proteomics Cancer
21.0 years ago stefano iacus ▴ 430
0
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1
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1.8k
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Bioconductor 1.4 released
Proteomics Annotation Normalization GO Cancer CGH pamr gcrma gpls affyPLM webbioc bim
updated 21.5 years ago by ★ 13k • written 21.5 years ago by ▴ 810
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questions about Affy package from new user
Proteomics Normalization GO Preprocessing Clustering probe affy PROcess mscalib GO probe
updated 21.7 years ago by 68k • written 21.7 years ago by ▴ 210
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RE: Bioconductor Digest, Vol 13, Issue 27
Proteomics Normalization GO Preprocessing Clustering moe430a moe430b cdf probe affy GO
21.7 years ago Victor M Trevino-Alvarado ▴ 20
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LC-MS data
Proteomics Preprocessing Clustering PROcess Proteomics Preprocessing Clustering PROcess
21.7 years ago Nicholas Lewin-Koh ▴ 430
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1.3k
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JOB: Biostatistican
Microarray Genetics Proteomics Network Kidney Microarray Genetics Proteomics Network
22.1 years ago Robert Campanell ▴ 10
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926
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proteomics data analysis
Proteomics Proteomics
22.3 years ago Martin Olivier ▴ 70
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1.1k
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Bioconductor volunteer
Proteomics Proteomics
23.1 years ago Amin Momin ▴ 40
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1.6k
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affy expression values
Proteomics affy PROcess Proteomics affy PROcess
updated 23.3 years ago by ▴ 640 • written 23.3 years ago by ▴ 10
235 results • Page 5 of 5
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Comment: Getting a large intercept with DESeq2 by Michael Love 43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2 by James W. MacDonald 68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2 by James W. MacDonald 68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C by ATpoint ★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa? by Gordon Smyth 53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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