Indian Statistical Institute
Maps of Variability in Cell Lineage
Trees
Professor Terry
Speed completed a B.Sc. (Hons) in Mathematics and Statistics at the University
of Melbourne, Australia and a Ph.D. in Mathematics and a Diploma in Education
at the Monash University, Melbourne, Australia.
He held appointments at the University of
Sheffield, United Kingdom, the University of Western Australia, Perth,
Australia, and the University of California, Berkeley, USA, and with the CSIRO
in Canberra, Australia. In 1997 he took up an appointment with the Walter &
Eliza Hall Institute of Medical Research, Australia, where he is now an
Honorary Fellow in the Bioinformatics Division. Earlier he was the lab head in
the same division. Professor Speed has supervised around 70 research students.
In 1989, Professor Speed was elected as a
Fellow of the American Statistical Association. He also held the Office of the
President of the Institute of Mathematical Statistics in 2004. In 2002, he
received the Pitman Medal. In 2009, he was awarded the NHMRC Australia
Fellowship. In 2013, he received the Australian Prime Ministers Prize for
Science. Professor Speed was elected a Fellow of the Royal Society of London in
2013.
His research interests lie in the application
of Statistics and bioinformatics to genetics and genomics, and related fields
such as proteomics, metaolomics and epigenomics, with a focus on cancer and
epigenetics.
Professor Speed is regarded internationally
as THE expert on the analysis of
microarray data.
Date : 13th February, 2019 (Wednesday)
Time : 2.00 pm - 3.00 pm
Title
: Maps of Variability
in Cell Lineage
Trees
Abstract
Recent approaches to lineage tracking have allowed the study of
differentiation in multicellular organisms over many generations of cells.
Understanding the phenotypic variability observed in these lineage trees
requires new statistical methods. An invariant cell lineage, such as that for
the worm Caenorhabditis elegans, can be described by a lineage map, defined as
the pattern of phenotypes overlaid onto the binary tree. However, this lineage
map is static and does not describe the variability inherent in the cell
lineages of higher organisms. Here, we introduce lineage variability maps which
describe the pattern of second-order variation in lineage trees. These maps can
be undirected graphs of the partial correlations between every lineal position,
or directed graphs showing the dynamics of bifurcated patterns in each subtree.
We infer these graphical models for lineages of any depth from sample sizes of
only a few pedigrees. This required developing the generalized spectral
analysis for a binary tree, the natural framework for describing
tree-structured variation. Lineage variability maps thus elevate the concept of
the lineage map to the population level, addressing questions about the potency
and dynamics of cell lineages and providing a way to quantify the progressive
restriction of cell fate with increasing depth in the tree.
The lecture will be held in Second Floor Auditorium.
All are welcome.