Lecture on proteomics by @lgatto at #csama 2023 including an overview on the :rstats: package ecosystem from #RforMassSpectrometry #MassSpec

Lori, Davide @drisso , Laurent @lgatto doing some rest at the #csama social event - again, some #dolomites in the background ❤️🏔️

Today at #csama, Vince on profiling memory and CPU usage, @drisso on spatial transcriptomics, me on bootstrapping and estimation, @csoneson on inference problems in single cell, Lori on annotation resources in Bioc

@drisso on essentials of quality control and data exploration for single cell RNA-seq analysis #csama

@drisso on single cell RNA-seq experiments and methods in Bioconductor #csama

@csoneson teaching Gamma-Poisson GLM, scaling factors, overdispersion estimation in edgeR and DESeq2, tximport and effective gene length #csama

Into the first lab of the week, introduction to R and Bioconductor objects #csama

Great discussion led by @csoneson on what can be extrapolated from measurements from a single sample (e.g. n=1 single cell experiment) or from a single population (e.g. one mouse strain), should we be generous or pessimistic in this case #csama

@csoneson discussing what makes something an "experiment", when are questions answerable with data #csama

Robert Gentleman at #csama recommends regressing PCs on single cell cluster labels, helps to find interesting remaining variation, or issues from insufficient clustering

First two questions at #csama

1) where and who is Bioconductor
2) should I update all packages in the middle of a project

Impressions from our pre #csama @bioconductor summer school hike: @lgatto and me on the way up the summit (in total 1922m up, 1922m down).

#csama starts tonight, with lectures on biology, genomics, math and stats from @whuber @lgatto @csoneson @jorainer @drisso @JPhilipp et al

#csama starts tonight, with lectures on biology, genomics, math and stats from @whuber @lgatto @csoneson @jorainer @drisso et al