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Aug 13, 2019
Category: General
Posted by: sro

Alokasi Asisten MK Departemen Statistika

Semester Ganjil Tahun Ajaran 2019/2020


Berikut ini terlampir beberapa hal yang penting diperhatikan para asisten MK Departemen Statistika yang meliputi Daftar Alokasi & Kontak Asisten, Jadwal Perkuliahan MKPengarahan Pelaksanaan ResponsiDaftar Kontak Dosen+Kode Prodi di IPB, dan Panduan Responsi

May 17, 2019
Category: Academic
Posted by: anissa
Pengumuman pembimbing skripsi mahasiswa S1 Statistika IPB angkatan 53.
May 17, 2019
Category: Academic
Posted by: anissa

Pengumuman alokasi PL mahasiswa S1 Statistika IPB TA 2019/2020.


Kuliah Umum 2

Kegiatan : Kuliah Umum
Topik : Identification of transcript regulatory patterns in cell differentiation
Pembicara : Dr. Arief Gusnanto, University of Leeds - UK
Waktu : 18 Desember 2017, 13.00 - 15.00 WIB
Tempat : Ruang Kuliah STK - CESPO

Identification of transcript regulatory patterns in cell differentiation

Haematopoiesis is a formation of mature blood cells from their precursor stem cells. In the process, a stem cell will experience changes in gene expression and other complex processes that will direct it to a specific mature cell type. As a stem cell matures, it undergoes changes in gene expression (transcripts) that limit the cell types that it can become and moves it closer to a specific cell type. Studying transcript regulatory patterns in cell differentiation is critical in understanding its complex nature of the formation and function of different cell types. This is done usually by measuring gene expression at different stages of the cell differentiation. However, if the gene expression data available are only from the mature cells, we have some challenges in identifying transcript regulatory patterns that govern the cell differentiation.

In this study, we propose to exploit the information of the lineage of cell differentiation in terms of correlation structure between cell types. We assume that two different cell types that are close in the lineage will exhibit many common genes that are co-expressed relative to those that are far in the lineage. Current analysis methods tend to ignore this correlation by testing for diffferential expression assuming some sort of independence between cell types. We employ a Bayesian approach to estimate the posterior distribution of the mean of expression in each cell type, by taking into account the cell formation path in the lineage. This enables us to infer genes that are specific in each cell type, indicating the genes are involved in directing the cell differentiation to that particular cell type. We illustrate the method using gene expression data from a study of haematopoiesis.

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