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1 in the canonical pathways specific to immune system biology.
2 ches in tackling complex problems in nervous system biology.
3 hods for various tasks in bioinformatics and system biology.
4 is well aligned with the future direction in system biology.
5 modeling and analysis techniques employed in systems biology.
6 interactions (PPIs) is a central problem in systems biology.
7 on prospective prediction using the tools of systems biology.
8 topology is one of the fundamental goals of systems biology.
9 cture and dynamics is of central interest in systems biology.
10 ng factors on cell receptors and subcellular systems biology.
11 is key to targeted phenotyping techniques in systems biology.
12 ts represents one of the grand challenges of Systems Biology.
13 ) analysis constitutes a fundamental tool in systems biology.
14 ome an important part of modern genomics and systems biology.
15 ations is a popular approach in the field of systems biology.
16 ematical models in biology is referred to as systems biology.
17 od to address key questions in developmental systems biology.
18 interactions (PPIs) is a central problem in systems biology.
19 undamental part of the scientific process in systems biology.
20 omplex problems of long-standing interest in systems biology.
21 s an important open problem in computational systems biology.
22 challenge for experimental and computational systems biology.
23 ulatory networks (GRNs) is a new frontier in systems biology.
24 teractions constitutes a major bottleneck in systems biology.
25 the most valuable, but challenging, tasks in systems biology.
26 underlie development is a major question for systems biology.
27 ome an important part of modern genomics and systems biology.
28 g specialized knowledge of bioinformatics or systems biology.
29 a is a huge algorithmic challenge for modern systems biology.
30 ations is a popular approach in the field of Systems Biology.
31 reeding, molecular biology, biochemistry and systems biology.
32 tegy to analyze 'omics' data in the field of systems biology.
33 d has been widely studied as a core motif in systems biology.
34 insights presents a significant challenge in systems biology.
35 y, medical informatics, cancer genomics, and systems biology.
36 etworks are routinely used for prediction in systems biology.
37 ecome a part of the routine data analysis in systems biology.
38 rocesses, as well as cell-scale processes in systems biology.
39 ways and their crosstalk is a cornerstone of systems biology.
40 Networks have become ubiquitous in systems biology.
41 on in silico, with promising applications in systems biology.
42 sion and interaction data is a major goal of systems biology.
43 of scientific exploration at the frontier of systems biology.
46 iew, we survey exciting results derived from systems biology analyses of the immune system, ranging f
47 ed comprehensive transcriptome profiling and systems biology analysis to interrogate the unique and o
48 systems theory has been used previously for systems biology analysis, the current work illustrates i
51 to overcome target-based bottlenecks through systems biology analytics, such as protein-protein inter
53 models are the cornerstone of computational systems biology and a key objective of computational sys
58 r metabolism is a major challenge in current systems biology and has triggered extensive metabolomics
59 advances in the fields of computational and systems biology and highlight opportunities for research
60 glected diseases, especially in the areas of systems biology and immunology; ecology, evolution, and
61 ntitative data-rich temporal experiments for systems biology and modeling approaches to better unders
63 existing knowledge of COPD pathobiology, how systems biology and network medicine can improve underst
64 formation that existing technology provides (systems biology and network medicine) so diagnosis, stra
66 use of large linear and nonlinear models in systems biology and other applications involving multisc
69 They are expected to have a large effect on systems biology and personalized medicine approaches tha
70 d implicit role of the law of mass action in systems biology and reveals how the original, more gener
73 sed on the interdisciplinary field of cancer systems biology and the challenging cancer questions tha
74 e advent of different modeling formalisms in systems biology and their ability to be exchanged and re
76 he perspectives of digital and analog logic, systems biology, and metabolic engineering, three areas
78 advances in genomics, molecular biology, and systems biology, and will continue to accelerate as acce
80 highlighting the importance of a structural system biology approach for predicting the effect of SAV
83 its organization and architecture, we took a systems biology approach and performed a semi-high-throu
86 analysis demonstrates that the "multi-omics" systems biology approach can define the complex machiner
91 cs, genetics, and other omics platforms in a systems biology approach holds potential for elucidating
93 issue of the JCI, Grimm and colleagues use a systems biology approach in mice lacking the kinase SPAK
94 he promise of high-throughput "-omics"-based systems biology approach in providing greater insight to
95 ate tumor growth and provides a framework of systems biology approach in studying tumor-related immun
98 rogeneity of asthma and allergic diseases, a systems biology approach is attractive, as it has the po
99 entering the era of personalized medicine, a systems biology approach merging the numerous clinical p
102 both venous and arterial thrombosis, a Blood Systems Biology approach should provide metrics for rate
106 study, the authors use for the first time a systems biology approach to comprehensively evaluate cli
108 ators of the immune system, and so we used a systems biology approach to construct an miRNA regulator
110 ide transcriptomics analysis combined with a systems biology approach to determine the molecular sign
111 Here, we have used a graph theory-based systems biology approach to determine topological proper
113 e thought to tackle this problem by taking a systems biology approach to identify candidate target ge
116 le of disease on myelopoiesis, we utilized a systems biology approach to study development in liver-r
124 e outline the limitations of the small-scale systems biology approach with examples from research int
125 stressors are being developed that require a systems biology approach with more biologically accurate
126 To gain insight into this we undertook a systems biology approach, aiming to generate a Boolean m
127 oRNA-124 (miR-124), determined with a tiered systems biology approach, is responsible for increased e
128 wth after injury, we applied a comprehensive systems biology approach, starting with gene expression
131 r a combination of three common POPs using a systems biology approach, which may link POP exposure to
137 We thus finally discuss the potential of systems-biology approach to predict its occurrence and t
144 nformation that builds the basis for diverse systems biology approaches in neuroscience, from compara
146 oaches that identify key organism traits and systems biology approaches that integrate traditional ph
147 rgets; and (4) to further the development of systems biology approaches to decipher the molecular mec
149 obiome, and metabolome, providing fodder for systems biology approaches to examine asthma and allergy
152 l and diseased human kidney samples and used systems biology approaches to identify potentially causa
154 ated is the parallel growth in computational systems biology approaches toward these same problems-pa
155 In this Pulmonary Perspective, we discuss systems biology approaches, especially but not limited t
158 metabolic modeling and other nowadays common systems biology approaches-allowed them to anticipate th
161 These data were deconvoluted using three systems biology approaches: "Orbital-deconvolution" eluc
162 sing vaccination as a model perturbation and systems-biology approaches are beginning to provide a gl
165 metagenomics, proteomics, metabolomics, and systems biology are providing a new emphasis in research
166 nt research of the use of exosomal miRNA and systems biology as therapeutic strategies for the damage
174 ogy that results from disrupting the complex systems biology between the kidney, skeleton, and cardio
177 oles of quantitative proteomics in molecular systems biology, clinical research and personalized medi
179 sets together, our system inferred the first systems-biology comprehensive dynamical model explaining
180 alance analysis (FBA), has become a standard systems-biology computational method to study cellular m
181 hus providing insight into the long-standing systems biology conundrum of how vascular invasion is co
183 s environmental and genetic backgrounds, the systems biology core proteome is significantly enriched
184 computational methodologies on a multilayer systems biology dataset composed of phosphoproteomics, t
185 al structural and functional features (i.e., systems biology) defines disease clustering (i.e., commo
186 y key fields in biology, including genomics, systems biology, development, medicine, evolution, ecolo
187 , immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental dete
188 , evolutionary mechanisms, neurobiology, and systems biology each has its ancestry in developmental b
189 chemical systems are common in computational systems biology, especially in the realm of cellular sig
190 n of different genomics datasets in a global Systems Biology fashion presents a more productive avenu
194 ociated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encycl
195 red five novel plant defense players using a systems biology-fueled top-to-bottom approach and demons
196 directing towards biological methods such as systems biology, genetic engineering and bio-refining fo
198 process these data and distill insights into systems biology has been an important part of the "big d
201 ematical models of metabolism from bacterial systems biology have proven their utility across multipl
204 l gene expression, epigenetic profiling, and systems biology in increasing our understanding of the m
205 used for large-scale comparative studies in systems biology, including proteomics, glycomics and met
207 tocols, interlink them in the context of the systems biology investigations that produced them, and t
212 An important and yet challenging task in systems biology is to reconstruct cellular signaling sys
213 es our understanding of pathogenicity at the systems biology level and provides enticing prospects fo
216 ficial pure Java programming library for the Systems Biology Markup Language (SBML) format, has evolv
217 how query results are converted back to the Systems Biology Markup Language (SBML) standard format.
220 FBA (flux balance analysis), and supporting systems biology markup language and comma-separated valu
221 cific biochemical reactions from the curated systems biology markup language models contained in the
225 his complexity and adopting a combination of systems biology methods and integrated analyses to under
227 then expand on the potential applications of systems biology methods to study complex systems, within
230 cterial diet provide a powerful interspecies systems biology model that facilitates the precise delin
240 orts spread across Europe were combined with systems biology (omics, IgE measurement using microarray
242 clustering approach taken from genomics and systems biology on two large independent cognitive datas
244 tomics and proteomics of tick tissues from a systems-biology perspective and discuss future challenge
246 ity and has potential applications including systems biology, pharmacology, cancer diagnosis and stem
248 g the past decade, with its breakthroughs in systems biology, precision medicine (PM) has emerged as
253 hms and computational framework will harness systems biology research because they efficiently transl
255 ome these limitations would fill the void in systems biology research, catalyze clinical innovations,
261 enetics, robustness is also a key feature in systems biology, resulting from nonlinearities in quanti
264 rmulated in terms of a well-known concept in systems biology, statistics, and control theory-that of
266 abolism, BiGG Models will facilitate diverse systems biology studies and support knowledge-based anal
268 ptome and fetal gene program will facilitate systems biology studies of dilated cardiomyopathy in zeb
269 ic resolving methods are facilitating unique systems biology studies of heterocellular communication.
271 ing the reproducibility and impact of cancer systems biology studies will require widespread method a
275 rtance of heterocellular communication, most systems biology techniques do not report cell-specific s
276 nt developments in metabolic phenotyping and systems biology technologies and how these methodologies
278 tractable problem in molecular and cellular systems biology; the sequence of structural changes in s
279 ic dynamical models such as those studied in systems biology there is currently a great need for both
280 c, epigenetic, and endophenotype traits with systems biology to annotate genetic variants, and to fac
281 become one of the most challenging tasks in systems biology to automatically identify protein comple
282 , and highlight one potential application of systems biology to drug discovery and translational medi
283 ene-trap insertional mutagenesis testing and systems biology to identify new antiviral targets and dr
284 bled the fields of metabolic engineering and systems biology to make great strides in interrogating c
285 diators of epithelial dysfunction using both systems biology tools and causality-driven laboratory ex
287 h-dimensional data and computation - defines systems biology, typically accompanied by some notion of
288 rk of a series of challenges designed by the systems biology verification for Industrial Methodology
290 set enrichment as part of the sbv IMPROVER (systems biology verification in Industrial Methodology f
293 tailed serology, advanced FACS analysis, and systems biology, we discovered that aged subjects develo
294 applications in digital microfluidics and in systems biology where the kinetics response in the linea
295 eveloping a true understanding via molecular systems biology will require a fundamental rethinking of
296 ng can combine the advances in synthetic and systems biology with current cellular hosts to further p
297 e pathogenesis of MetS and demonstrates that systems biology with high-throughput sequencing is a pow
298 is an important and widely used algorithm in systems biology, with applications in protein function p
300 nstrate how EnsembleFBA can be included in a systems biology workflow by predicting essential genes i
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