Λέσχη Φίλων Στατιστικής - GrStats forum
AUEB SEMINARS - 27/1/2016: A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling Forumgrstats

Join the forum, it's quick and easy

Λέσχη Φίλων Στατιστικής - GrStats forum
AUEB SEMINARS - 27/1/2016: A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling Forumgrstats
Λέσχη Φίλων Στατιστικής - GrStats forum
Would you like to react to this message? Create an account in a few clicks or log in to continue.
Για προβλήματα εγγραφής και άλλες πληροφορίες επικοινωνήστε με : grstats.forum@gmail.com ή grstats@stat-athens.aueb.gr

Go down
grstats
grstats
Posts : 966
Join date : 2009-10-21
http://stat-athens.aueb.gr/~grstats/

AUEB SEMINARS - 27/1/2016: A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling Empty AUEB SEMINARS - 27/1/2016: A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling

Fri 22 Jan 2016 - 10:17
AUEB SEMINARS - 27/1/2016: A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling 20keiao


ΚΥΚΛΟΣ ΣΕΜΙΝΑΡΙΩΝ ΣΤΑΤΙΣΤΙΚΗΣ ΙΑΝΟΥΑΡΙΟΣ 2016

Luca Tardella
Dipartimento di Scienze Statistiche – Sapienza Universita di Roma (Italy)

A novel Bayesian mixture of Poisson estimation for expressed sequence tag sampling

ΤΕΤΑΡΤΗ 27/1/2016
13:00

ΑΙΘΟΥΣΑ 607, 6ος ΟΡΟΦΟΣ,
ΚΤΙΡΙΟ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ
(ΕΥΕΛΠΙΔΩΝ & ΛΕΥΚΑΔΟΣ)

ΠΕΡΙΛΗΨΗ

Expressed sequence tag (EST) clustering is a process that identifies and assembles ESTs which correspond to the same gene. A cDNA library can be sampled and the number of tags observed from each distinct gene are often summarized in terms of a gene cluster profile (n1, ... ,nj, ... nT) where nj represents the number of genes that had j ESTs in the sample. This profile has been used for gene capture prediction and overlap estimation in EST sequencing based on the appropriate modelling of the so-called frequency of frequencies (Susko, E. and Roger, A.J., 2004; Wang et al. 2005). We focus on the estimation of the unobserved expressed genes and we propose a novel moment-based flexible Bayesian approach comparing the new estimator with those already available and we discuss computational and inferential challenges.
Back to top
Permissions in this forum:
You cannot reply to topics in this forum