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Job: PhD Studentship in Computational Biology and Machine Learning @ University of Cambridge (application deadline November 15th 2019)
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6.1 years ago • updated 6.0 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
6.5 years ago • updated 6.4 years ago Shamith.Samarajiwa ▴ 180
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Data preparation and Machine learning on time course RNAseq data
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Job: CRUK Cambridge Centre MRes + PhD in Cancer Biology (Cross-Programme Quantitative Projects)
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6.9 years ago Shamith.Samarajiwa ▴ 180
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Job: Postdoctoral Research Associate (Fixed Term) - Data Scientist / Computational Biologist, University of Cambridge, UK
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7.6 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)
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8.1 years ago • updated 8.0 years ago Shamith.Samarajiwa ▴ 180
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Job: Summer Studentships in Data Science (Computational Cancer Biology) at the University of Cambridge
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8.6 years ago Shamith.Samarajiwa ▴ 180
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Answer: Using DESeq2 for age prediction by ATpoint ★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis by Michael Love 43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
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A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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