The Role of Statisticians in Personalized Medicine: An Overview of Statistical Methods in Bioinformatics
For the past decade, there is a huge amount if interest in determining the optimal treatment for an individual patient, the so-called personalized medicine. This is mostly achieved mostly by understanding the human genome leading to targeted treatments or regimes. Rapid advances in biotechnology resulting complex and huge amount data sets for answering complex biological questions. This development challenges statisticians in developing and implementing proper statistical methods.
This talk would provide a brief basic of molecular biology and an overview of statistical methods commonly used in the bioinformatics research focused on the analysis of gene expression in microarray and Next-Generation Sequencing. Statistical methods such as regularized-t test, ANOVA, multiple testing methods, classification and clustering would be presented. Cases studies in prostate cancer, malaria and breast cancer would discussed.
The slide can be seen at: http://slideshare.net/hafidztio/bioinformatics-tekfis-its
Biostatistics and Statistical Bioinformatics a Lecture at the Faculty of Mathematics and Natural Sciences, Brawijaya University
Image courtesy: here
On October 2012, I had an honor to give a guest lecture in the Mathematics Department of Brawijaya University. I never image that I will return to the university which provided me lot of valuable knowledge to give a lecture there.
There are lies, darned lies, and statistical outliers.
Statistics means never having to say you’re certain.
Statistics is the art of never having to say you’re wrong. Variance is what any two statisticians are at. – C.J.Bradfield
A statistician is a person who draws a mathematically precise line from an unwarranted assumption to a foregone conclusion.
A statistician is a person who stands in a bucket of ice water, sticks their head in an oven and says “on average, I feel fine!” – K.Dunnigan
A statistician drowned while crossing a stream that was, on average, 6 inches deep.
Most people use statistics the way a drunk uses a lamp post, more for support than enlightenment.
Figures don’t lie, but liars figure. – Samuel Clemens (alias Mark Twain)
Are statisticians normal?
An engineer, a physicist, and a statistician were moose hunting in northern
The weather man is never wrong. Suppose he says that there’s an 80% chance of rain. If it rains, the 80% chance came up; if it doesn’t, the 20% chance came up!