TY - JOUR
T1 - Cancer systems biology
T2 - Signal processing for cancer research
AU - Yli-Harja, Olli
AU - Ylipää, Antti
AU - Nykter, Matti
AU - Zhang, Wei
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In this editorial we introduce the research paradigms of signal processing in the era of systems biology. Signal processing is a field of science traditionally focused on modeling electronic and communications systems, but recently it has turned to biological applications with astounding results. The essence of signal processing is to describe the natural world by mathematical models and then, based on these models, develop efficient computational tools for solving engineering problems. Here, we underline, with examples, the endless possibilities which arise when the battle-hardened tools of engineering are applied to solve the problems that have tormented cancer researchers. Based on this approach, a new field has emerged, called cancer systems biology. Despite its short history, cancer systems biology has already produced several success stories tackling previously impracticable problems. Perhaps most importantly, it has been accepted as an integral part of the major endeavors of cancer research, such as analyzing the genomic and epigenomic data produced by The Cancer Genome Atlas (TCGA) project. Finally, we show that signal processing and cancer research, two fields that are seemingly distant from each other, have merged into a field that is indeed more than the sum of its parts.
AB - In this editorial we introduce the research paradigms of signal processing in the era of systems biology. Signal processing is a field of science traditionally focused on modeling electronic and communications systems, but recently it has turned to biological applications with astounding results. The essence of signal processing is to describe the natural world by mathematical models and then, based on these models, develop efficient computational tools for solving engineering problems. Here, we underline, with examples, the endless possibilities which arise when the battle-hardened tools of engineering are applied to solve the problems that have tormented cancer researchers. Based on this approach, a new field has emerged, called cancer systems biology. Despite its short history, cancer systems biology has already produced several success stories tackling previously impracticable problems. Perhaps most importantly, it has been accepted as an integral part of the major endeavors of cancer research, such as analyzing the genomic and epigenomic data produced by The Cancer Genome Atlas (TCGA) project. Finally, we show that signal processing and cancer research, two fields that are seemingly distant from each other, have merged into a field that is indeed more than the sum of its parts.
KW - References
UR - http://www.scopus.com/inward/record.url?scp=79954473685&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79954473685&partnerID=8YFLogxK
U2 - 10.5732/cjc.011.10095
DO - 10.5732/cjc.011.10095
M3 - Article
C2 - 21439242
AN - SCOPUS:79954473685
SN - 1000-467X
VL - 30
SP - 221
EP - 225
JO - Chinese Journal of Cancer
JF - Chinese Journal of Cancer
IS - 4
ER -