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Comment: C: omit Probe sets absent’ on ≥ 10 % of all microarray chips
9.2 years ago svlachavas ▴ 830
1
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1.5k
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Comment: C: omit Probe sets absent’ on ≥ 10 % of all microarray chips
9.2 years ago svlachavas ▴ 830
1
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0
replies
1.5k
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Comment: C: omit Probe sets absent’ on ≥ 10 % of all microarray chips
9.2 years ago svlachavas ▴ 830
0
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0
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6.0k
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Answer: A: Gene symbols on MA-plot
9.2 years ago svlachavas ▴ 830
1
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1.5k
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Answer: A: omit Probe sets absent’ on ≥ 10 % of all microarray chips
9.2 years ago svlachavas ▴ 830
0
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4.6k
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Comment: C: Trouble identifying differentially expressed genes on Affymetrix Human Gene 2.0.
9.2 years ago svlachavas ▴ 830
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0
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1.6k
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Answer: A: Convert Affymetrix ID's to Kegg Pathway
9.3 years ago svlachavas ▴ 830
1
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6.1k
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Comment: C: Limma, blocking batch effect
9.3 years ago svlachavas ▴ 830
0
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1
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6.1k
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Comment: C: Limma, blocking batch effect
9.3 years ago svlachavas ▴ 830
0
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1
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6.1k
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Answer: A: Limma, blocking batch effect
9.3 years ago svlachavas ▴ 830
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6.1k
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Comment: C: Limma, blocking batch effect
9.3 years ago svlachavas ▴ 830
0
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1
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6.1k
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Answer: A: Limma, blocking batch effect
9.3 years ago svlachavas ▴ 830
0
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1.5k
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Comment: C: Possible construction of heatmap for clustering only genes for different treatme
9.3 years ago svlachavas ▴ 830
0
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2
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1.5k
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Possible construction of heatmap for clustering only genes for different treatments and not samples
heatmap.2 clustering common DEG genes bioconductor
updated 9.3 years ago by 67k • written 9.3 years ago by ▴ 830
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17k
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Comment: C: Correct construction of design matrix in limma for multiple contrasts for gene e
9.3 years ago svlachavas ▴ 830
0
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1
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17k
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Comment: C: Correct construction of design matrix in limma for multiple contrasts for gene e
9.3 years ago svlachavas ▴ 830
0
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1
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17k
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Comment: C: Correct construction of design matrix in limma for multiple contrasts for gene e
9.3 years ago svlachavas ▴ 830
0
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0
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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0
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1.8k
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Comment: C: Possible TF binding site enrichment analysis through mroast and conversion probl
9.3 years ago svlachavas ▴ 830
0
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1
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1.8k
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Comment: C: Possible TF binding site enrichment analysis through mroast and conversion probl
9.3 years ago svlachavas ▴ 830
0
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1
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1.8k
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Comment: C: Possible TF binding site enrichment analysis through mroast and conversion probl
9.3 years ago svlachavas ▴ 830
0
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1
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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0
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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1
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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1
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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0
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2.9k
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Comment: C: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
1
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1
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1.7k
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Comment: C: MAS 5 package
9.3 years ago svlachavas ▴ 830
3
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1
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1.7k
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Answer: A: MAS 5 package
9.3 years ago svlachavas ▴ 830
1
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1
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2.9k
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Answer: A: Limma - discrepancy in number of significant genes
9.3 years ago svlachavas ▴ 830
0
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1
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1.8k
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Comment: C: Possible TF binding site enrichment analysis through mroast and conversion probl
9.3 years ago svlachavas ▴ 830
0
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1
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8.7k
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Comment: C: Creating an Expression Set with a csv file
9.3 years ago svlachavas ▴ 830
0
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1
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8.7k
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Comment: C: Creating an Expression Set with a csv file
9.3 years ago svlachavas ▴ 830
1
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1
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8.7k
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Answer: A: Creating an Expression Set with a csv file
9.3 years ago svlachavas ▴ 830
0
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1
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1.8k
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Comment: C: Possible TF binding site enrichment analysis through mroast and conversion probl
9.3 years ago svlachavas ▴ 830
7
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10
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1.8k
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Possible TF binding site enrichment analysis through mroast and conversion problems
TF binding site analysis bioconductor mroast limma promoter analysis
updated 9.3 years ago by ★ 28k • written 9.3 years ago by ▴ 830
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
0
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1
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
0
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2
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
0
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1
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3.0k
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Comment: C: Is it sensable to use p-value detection in illumina bead array as present, absen
9.3 years ago svlachavas ▴ 830
1
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1
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3.0k
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Answer: A: Is it sensable to use p-value detection in illumina bead array as present, absen
9.3 years ago svlachavas ▴ 830
0
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1
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17k
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Comment: C: Correct construction of design matrix in limma for multiple contrasts for gene e
9.3 years ago svlachavas ▴ 830
0
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1
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
0
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1
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
0
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1
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2.0k
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Comment: C: Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast te
9.3 years ago svlachavas ▴ 830
5
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11
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2.0k
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Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast testing
limma mroast GSEA GO illumina human ht-12 v4
updated 9.3 years ago by ★ 28k • written 9.3 years ago by ▴ 830
0
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0
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1.8k
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Comment: C: Annotation problems regarding quality information for Illumina HumanHT-12 v4-ill
9.3 years ago svlachavas ▴ 830
0
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0
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1.5k
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Comment: C: GenesAnswers for Arabidopsis!
9.3 years ago svlachavas ▴ 830
1
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1
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1.5k
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Answer: A: GenesAnswers for Arabidopsis!
9.3 years ago svlachavas ▴ 830
2
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2
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1.8k
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Annotation problems regarding quality information for Illumina HumanHT-12 v4-illuminaHumanv4.db
illumina human ht-12 v4 illuminahumanv4.db filtering on probe annotation illumina
updated 9.3 years ago by ★ 6.5k • written 9.3 years ago by ▴ 830
0
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0
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17k
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Comment: C: Correct construction of design matrix in limma for multiple contrasts for gene e
9.3 years ago svlachavas ▴ 830
532 results • Page 8 of 11
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