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Job: PhD Studentship in Computational Biology and Machine Learning @ University of Cambridge (application deadline November 15th 2019)
cancer genomics deep learning computational biology Job
6.3 years ago Shamith.Samarajiwa ▴ 180
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Job: Research Assistant position (Fixed Term -12 months initially - application deadline 9th June) in Machine Learning & Computational Cancer Genomics @ …
cancer deep learning genomics Job
6.7 years ago • updated 6.6 years ago Shamith.Samarajiwa ▴ 180
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Data preparation and Machine learning on time course RNAseq data
machine learning deep learning RNAseq MLSeq
7.0 years ago A ▴ 60
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Job: CRUK Cambridge Centre MRes + PhD in Cancer Biology (Cross-Programme Quantitative Projects)
PhD cancer deep learning computational biology Job
7.1 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
7.8 years ago Shamith.Samarajiwa ▴ 180
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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
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Job: PhD opportunity in Cambridge (Computational Biology and Data Science)
cancer deep learning genomics Job computational biology
8.3 years ago • updated 8.2 years ago Shamith.Samarajiwa ▴ 180
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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
8.8 years ago Shamith.Samarajiwa ▴ 180
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Comment: Are individual-mouse-based statistics possible in CellChat? by TikTsossakaas33ocissalpc • 0
Questions about comparing groups and statistical significance highlight how data driven thinking matters across fields. In online mobile ga…
Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink by ja569116 • 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice by Gordon Smyth 53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma by Gordon Smyth 53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry by Gordon Smyth 53k
I updated the above answer today.
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Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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