Showing : Prostate cancer • reset
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Job: 3.5 year cancer data scientist postdoc @ UEA, Norwich, UK
prostate cancer machine learning data science genomics Job
6.0 years ago • updated 5.7 years ago Daniel Brewer ▴ 100
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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
6.4 years ago Daniel Brewer ▴ 100
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Job: Computational Biologist position in CRUK Manchester Institute, UK
ngs prostate cancer genomics computational biology bioinformatician job Job
8.3 years ago • updated 8.2 years ago huisun.leong ▴ 10
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Job: 2 year bioinformatics postdoc in the microbiome and prostate cancer risk @ UEA, Norwich, UK
Cancer microbiome postdoc UK prostate cancer Job
9.2 years ago Daniel Brewer ▴ 100
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Job: PhD position at CRUK Manchester Institute
Prostate cancer noncoding rna biomarkers machine learning Job
9.6 years ago Hui Sun Leong ▴ 10
5 results • Page 1 of 1
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Comment: Help with defining groups by Phinney, Brett ▴ 10
I got it working , thank you!!!
Comment: Check removeBatchEffect effectiveness by massimo • 0
I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…
Comment: Error Loading Experiment from SimBenchData Package by ksankaran • 0
Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset? by ATpoint ★ 5.0k
Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…
Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes by ATpoint ★ 5.0k
Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…
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Comment: Check removeBatchEffect effectiveness
Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)
Answer: Error Loading Experiment from SimBenchData Package
Comment: incomplete imputation of missing values with LEA impute() function
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
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