Feng Cheng – författare

Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled.

In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.

The research and development process in modern drug discovery and development is a complex and challenging task. Using traditional biological test methods such as PCR to measure the expression levels or function of these genes is costly and time-consuming. RNA-seq can measure the expression patterns of thousands of genes simultaneously and provide insights into functional pathways or regulations in biological processes, which has revolutionized the way biological scientists examine gene functions. This book addresses the various aspects of the RNA-seq technique, especially its application in drug discovery and development.

Features

• One of the few books that focuses on the applications of the RNA-seq technique in drug discovery and development.

• Comprehensive and timely publication which relates RNA sequencing to drug targets, mechanisms of action, and resistance.

• The editor has extensive experience in the field of computational medicinal chemistry, computational biophysics, and bioinformatics.

• Chapter authors are at the frontline of the academic and industrial science in this particular area of RNA sequencing.

The research and development process in modern drug discovery and development is a complex and challenging task. Using traditional biological test methods such as PCR to measure the expression levels or function of these genes is costly and time-consuming. RNA-seq can measure the expression patterns of thousands of genes simultaneously and provide insights into functional pathways or regulations in biological processes, which has revolutionized the way biological scientists examine gene functions. This book addresses the various aspects of the RNA-seq technique, especially its application in drug discovery and development.

Features

• One of the few books that focuses on the applications of the RNA-seq technique in drug discovery and development.

• Comprehensive and timely publication which relates RNA sequencing to drug targets, mechanisms of action, and resistance.

• The editor has extensive experience in the field of computational medicinal chemistry, computational biophysics, and bioinformatics.

• Chapter authors are at the frontline of the academic and industrial science in this particular area of RNA sequencing.