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"Frozen" RUVseq normalization
RUVseq machine learning
4.0 years ago acquaviva.massimo • 0
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703
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Job: Postdoc/research scientist in bioinformatics, Lund, Sweden
machine learning variation interpretation Job
4.2 years ago mauno.vihinen • 0
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996
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Job: 3.5 year cancer data scientist postdoc @ UEA, Norwich, UK
prostate cancer machine learning data science genomics Job
4.6 years ago • updated 4.3 years ago Daniel Brewer ▴ 100
1
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Job: EU/UK funded PhD Studentship - Applying machine learning techniques to Next Generation Sequencing Big Data to improve Prostate Cancer patient outcome…
phd machine learning next generation sequencing prostate cancer Job
5.0 years ago Daniel Brewer ▴ 100
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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
5.1 years ago msecrier ▴ 20
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4
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1.4k
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Problems with cholesky decomposition in pRoloc package
pRoloc machine learning cholesky
5.1 years ago robinkretz • 0
2
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994
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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
2
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1
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1.3k
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Data preparation and Machine learning on time course RNAseq data
machine learning deep learning RNAseq MLSeq
5.3 years ago A ▴ 40
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3
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836
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RNA seq analysis
rnaseq machine learning
5.4 years ago marak • 0
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2
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1.2k
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feature reduction using machine learning
rnaseq machine learning feature selection
updated 5.4 years ago by ▴ 420 • written 5.4 years ago by • 0
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1.1k
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Job: 2 Postdoc and 2 PhD positions in Regulatory genomics / Rare disease Gagneur lab, TU Munich
genomics genetics machine learning Job
5.5 years ago gagneur ▴ 10
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898
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Job: Postdoctoral Research Fellowship- reinforcement learning in biology- London
job bioinformatician job machine learning gene expression experimental design Job
5.6 years ago dezer ▴ 10
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1.3k
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brnn package (Bayesian regularization for feed-forward neural networks)
R machine learning brnn caret
5.9 years ago elisa.micarelli ▴ 10
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1.1k
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Job: Summer Vacation Studentships in Data Science, MRC Cancer Unit, University of Cambridge, UK
data science data visualization machine learning cancer Job
6.0 years ago • updated 5.9 years ago Shamith.Samarajiwa ▴ 180
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Job: Postdoctoral Research Associate (Fixed Term) - Data Scientist / Computational Biologist, University of Cambridge, UK
data science machine learning deep learning computational biology Job
6.1 years ago Shamith.Samarajiwa ▴ 180
3
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1.5k
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Job: Post Doctoral position in AI (Deep learning / Machine learning) approaches for Cancer Research, MRC Cancer Unit, University of Cambridge, UK
job Job machine learning deep learning computational biology
written 6.3 years ago by ▴ 180
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Job: Postdoctoral and other positions in bioinformatics, Vanderbilt University, Nashville, USA
machine learning bioinformatics data science circadian rhythms Job
6.3 years ago Jake • 0
1
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2.0k
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Job: junior level position in proteomics/data science
proteomics machine learning git docker Job
updated 6.3 years ago by • 0 • written 6.6 years ago by ▴ 70
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Job: Bioinformatician/Computational Biologist - Dublin City, Ireland
bioinformatician job computational biology genomes pathways machine learning Job
6.5 years ago bulfin.triona ▴ 10
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1.4k
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Job: PhD and MSc positions at KAUST
job MSc PhD machine learning Job
6.6 years ago senaykafkas • 0
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1.3k
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Job: Postdoc in Bioinformatics for Cancer Genomics
cancer genomics bioinformatics machine learning next-generation sequencing Job
6.9 years ago yang4414 • 0
5
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1.4k
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Job: Summer Studentships in Data Science (Computational Cancer Biology) at the University of Cambridge
R python deep learning machine learning cancer genomics Job
7.1 years ago Shamith.Samarajiwa ▴ 180
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0
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1.7k
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Job: PhD position at CRUK Manchester Institute
Prostate cancer noncoding rna biomarkers machine learning Job
8.1 years ago Hui Sun Leong ▴ 10
23 results • Page 1 of 1
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Answer: limma Intercept vs No-intercept models completely changing DMR results? by James W. MacDonald 65k
This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…
Comment: CombineArrays for EPIC and EPIC V2 by Kim • 0
Thank you Tim, this is a great help in getting me started!
Comment: Too many significant genes when integrating gtex and tcga by Michael Love 41k
Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…
Answer: Too many significant genes when integrating gtex and tcga by James W. MacDonald 65k
See `?results`, in particular the lfcThreshold argument.
Comment: Once again a "Model matrix not full rank" by James W. MacDonald 65k
You already ran a temporal assay. Now you can compare each time point to the baseline. The interaction term is only applicable if you have…
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Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
A: Print Differentially Expressed Exons From Dexseq Results
stuck on unimplemented type 'list' in 'EncodeElement'
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