BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20251121T161646EST-1559UlvKEI@132.216.98.100
DTSTAMP:20251121T211646Z
DESCRIPTION:Title: Inference of perturbed immune repertoire dynamics using 
 high-throughput sequencing.\n\nAbstract: High-throughput sequencing provid
 es access to expression-level detail of cell populations. Identifying sign
 al in this data is nevertheless a challenge: intrinsic variability\, vast 
 subsampling\, and indirect access together make difficult the reliable and
  accurate inference of the changes in population size due to environmental
  perturbations. Here\, in the context of antigen-perturbed immune cell rep
 ertoires\, we present a generative model of observed sequence count pairs.
  For pairs of replicates\, our model captures the natural variability in t
 he system\, giving reproducible behaviour across donors. Using the replica
 te model as a baseline\, we then learn the parameters of a prior distribut
 ion of the ratio of a clone's frequency pair for pairs of repertoires samp
 led at different time points. After validating the model on synthetic repe
 rtoire data\, we infer the posterior distribution of this ratio for every 
 observed clone. Finally\, we use point estimates obtained from the posteri
 or to identify candidate responding clones\, which are confirmed in a subs
 equent functional assay. Our method can be used in the clinic to track dis
 ease-specific clones expanding or contracting after infection\, vaccinatio
 n\, or therapy.\n
DTSTART:20190515T200000Z
DTEND:20190515T210000Z
LOCATION:CA\, Pav. André-Aisenstadt
SUMMARY:Max Puelma Touzel\, Université de Montréal
URL:/mathstat/channels/event/max-puelma-touzel-univers
 ite-de-montreal-297055
END:VEVENT
END:VCALENDAR