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1 were analyzed using a multivariate method of pattern recognition.
2 rape variety employing chemometric tools for pattern recognition.
3 eal-time signal processing applications like pattern recognition.
6 Purpose To investigate whether multivariate pattern recognition analysis of arterial spin labeling (
7 ic anonymization--for example for performing pattern recognition analysis on multicentre/multi-manufa
10 analysis showed principally up-regulation of pattern recognition and innate inflammatory pathways, wi
13 analysis (PCA) was applied in this study for pattern recognition and significant metabolites selectio
17 developed to analyze the IR spectra by novel pattern-recognition and statistical tools, to determine
19 a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimension
20 n of a classic, well-defined data mining and pattern recognition approach termed the 'k-means' genera
22 esults underline the utility of multivariate pattern recognition approaches for the identification of
24 iples of hexagonal TRIM5 assembly and capsid pattern recognition are conserved across primates, allow
27 iting progression through mitosis or loss of pattern recognition by stimulator of interferon genes (S
28 ular pattern and damage-associated molecular pattern recognition by the innate immune system, and how
30 Sensor arrays are further employed to enable pattern recognition capable of discriminating between si
31 evant applications such as search engines or pattern recognition circuits, and opens possibilities to
33 ormed a 6-8 week home trial using direct and pattern recognition control with a custom prostheses mad
34 files that goes beyond current computational pattern recognition, does not require knowledge of speci
35 he cellular and physiological responses upon pattern recognition, elucidating the molecular, biochemi
37 ural network (ANN) mediated multidimensional pattern recognition from experimental and calculated 2D
40 fundamental design principles ranging from a pattern recognition method via deep-learning convolution
43 We found that MAp44 competed with MASP-3 for pattern recognition molecule interaction, and knockdown
47 erefore challenge the view of properdin as a pattern recognition molecule, and argue that the experim
51 ructural homology shared by other complement pattern recognition molecules and has its major function
52 ective study was to assess the impact of the pattern recognition molecules of the lectin pathway on l
53 classical pentraxins in humans, are soluble pattern recognition molecules that regulate the innate i
54 D bound to CC and reduced deposition of Igs, pattern recognition molecules, and complement factors on
60 feature detection process is approached as a pattern recognition problem, and thus, ANN was utilized
61 nd understanding, rather than merely solving pattern recognition problems; (2) ground learning in int
62 All samples were tested via unsupervised pattern recognition procedures like hierarchical cluster
64 n initiating serine protease upon binding of pattern recognition proteins to pathogen surfaces is a c
67 tion in macrophages decreases cytokines upon pattern recognition receptor (PRR) restimulation; cytoki
68 ion occurs in response to both virus-induced pattern recognition receptor (PRR) signaling and cellula
69 ntestinal microbes, and proper regulation of pattern recognition receptor (PRR) signaling is critical
71 oorly understand how vitamin D affects viral pattern recognition receptor (PRR)-driven cytokine produ
72 dehydrogenase (SDH) subunit A, and amplifies pattern recognition receptor (PRR)-induced SDH activity,
74 stream of a calcium influx, and required the pattern recognition receptor and adaptor STING but not c
75 strate that langerin not only functions as a pattern recognition receptor but also as an adhesion rec
76 advanced glycation end products (RAGE) is a pattern recognition receptor capable of recognizing mult
78 3 inflammasome, a multiprotein intracellular pattern recognition receptor complex that facilitates th
79 ulating the composition of a serine protease-pattern recognition receptor complex, MBL-associated ser
80 fungi induce neutrophilic MDSCs through the pattern recognition receptor Dectin-1 and its downstream
82 hus, NLRP3 mediated by ASC appears to be the pattern recognition receptor driving HBoV1 infection-ind
83 mune receptor, a member of the peptidoglycan pattern recognition receptor family (PGRP-LC), is requir
84 report serves as the first description of a pattern recognition receptor for CCHFV and highlights a
85 ng 10); however, the mechanism by which this pattern recognition receptor governs DC migration remain
86 ycation end-products (RAGE) is a multiligand pattern recognition receptor implicated in diverse chron
87 ibroblasts showed that RIG-I is the critical pattern recognition receptor needed for the influenza B
88 previously showed an important role for the pattern recognition receptor NOD2 in skin wound repair.
90 inflammasomes represent a central cytosolic pattern recognition receptor pathway leading to the gene
91 genetic deletion of Toll-like receptor 4, a pattern recognition receptor responsive to LPS, prevente
92 racterized post-translational consequence of pattern recognition receptor signaling is the assembly o
93 be observed downstream of death receptor or pattern recognition receptor signaling under certain cel
94 rtant role for collaboration between TNF and pattern recognition receptor signals in promoting maxima
96 nd Mer (TAM) receptors in regulating chronic pattern recognition receptor stimulation and NOD2-induce
97 okines are attenuated after chronic NOD2 and pattern recognition receptor stimulation of macrophages;
98 e cationic protein more similar to a soluble pattern recognition receptor than to conventional cytoki
99 advanced glycation end products (RAGE) is a pattern recognition receptor that interacts with advance
104 of the differentiated keratinocyte-specific pattern recognition receptor TLR7, the Langerhans cell c
106 of the ER, acting as a guard receptor and a pattern recognition receptor, capable both of sensing ce
107 pensable for cytokine-dependent induction of pattern recognition receptor, cell adhesion, or chemotax
108 ed gene 5 (MDA-5, IFIH1), a cytosolic innate pattern recognition receptor, functions as a first line
111 tivity, and requires no interaction with the pattern recognition receptor, Toll-like receptor 2 (TLR2
112 at the expression of PTX3, a soluble form of pattern recognition receptor, was induced by infection w
114 inhibition of translation elongation blocked pattern recognition receptor-mediated XBP1 splicing, mim
115 ptor [Ifnar](-/-)) to understand the role of pattern recognition receptor-sensing pathways in arthrit
120 somes, HIV-1 somehow evades detection by the pattern-recognition receptor (PRR) Toll-like receptor 8
121 of JAK2 expression and signaling determined pattern-recognition receptor (PRR)-induced outcomes; whe
122 tory signalling and are a repository for the pattern-recognition receptor cyclic GMP-AMP synthase (cG
124 t that the Toll-like receptor 9 (TLR9)-MyD88 pattern-recognition receptor pathway is uniquely capable
127 e highlight these aspects of cell biology in pattern-recognition receptor signaling by focusing on si
130 sense microbial signatures via activation of pattern recognition receptors (PPRs), which trigger a ra
132 ecular patterns (PAMPs) by surface-localized pattern recognition receptors (PRRs) activates the NADPH
133 PAMPs/MAMPs) are detected as nonself by host pattern recognition receptors (PRRs) and activate patter
138 ar patterns (MAMPs) by cell-surface-resident pattern recognition receptors (PRRs) induces rapid, robu
139 sociated molecular patterns (PAMPs/MAMPs) by pattern recognition receptors (PRRs) is a key component
141 ge-associated molecular patterns (DAMPs) for pattern recognition receptors (PRRs) may represent one s
142 rtance of DAMPs, which signal through innate pattern recognition receptors (PRRs) or DAMP-specific re
145 have been made to therapeutically target the pattern recognition receptors (PRRs) such as the Toll-li
146 consist of two distinct groups of proteins: pattern recognition receptors (PRRs) that detect viral i
147 obe-associated molecular patterns (MAMPs) by pattern recognition receptors (PRRs) that initiate quant
148 ular patterns (PAMPs) that are recognized by pattern recognition receptors (PRRs) to activate pattern
149 s (RKs) and receptor-like proteins (RLPs) as pattern recognition receptors (PRRs) to monitor their ap
150 s (RKs) and receptor-like proteins (RLPs) as pattern recognition receptors (PRRs) to sense pathogen-a
151 ammatory disorders is understanding how host pattern recognition receptors (PRRs), specifically toll-
153 en shown to be recognized by two families of pattern recognition receptors (PRRs), Toll-like receptor
154 cular patterns (PAMPs) are detected by plant pattern recognition receptors (PRRs), which gives rise t
155 cargos of plant trafficking pathways are the pattern recognition receptors (PRRs), which must be pres
158 l pathways that contain cytokine QTLs map to pattern recognition receptors (TLR1-6-10 cluster), cytok
160 o trigger type I interferon (IFN) responses, pattern recognition receptors activate signaling cascade
164 be-associated molecular patterns (MAMPs) via pattern recognition receptors and activate innate immune
168 copy, we observed differential expression of pattern recognition receptors and robust upregulation of
169 onse to bacteria, including acting as hybrid pattern recognition receptors and TCR coreceptors, and t
172 tion, which established danger signaling via pattern recognition receptors as a new concept of kidney
173 studies have demonstrated that signaling by pattern recognition receptors can regulate metabolic pro
176 s of most cytokines following stimulation of pattern recognition receptors compared with whole blood
178 lso activate microglia via interactions with pattern recognition receptors expressed on microglia.
179 tly to infectious Ags through stimulation of pattern recognition receptors expressed on their surface
180 f the C-type lectin receptor family serve as pattern recognition receptors facilitating pathogen upta
181 ce of human cells is decorated with numerous pattern recognition receptors for a variety of mycobacte
182 n receptors (CLRs) have emerged as important pattern recognition receptors for infectious danger.
183 athogenic Th cell types via the signaling of pattern recognition receptors for innate immune response
184 d TLRs, the signals emanating from different pattern recognition receptors have to be integrated to a
186 e of transcriptional responses downstream of pattern recognition receptors in informing the adaptive
189 DAP12, a signaling adapter for multiple pattern recognition receptors in myeloid and natural kil
191 us mouse hepatitis virus (MHV) activates the pattern recognition receptors melanoma differentiation-a
192 ic microbes, but mounting data suggest these pattern recognition receptors might also play key roles
193 stream signaling following activation of the pattern recognition receptors NOD1 and NOD2, leading to
195 ival correlated with decreased expression of pattern recognition receptors on host phagocytes known t
196 Misfolded and aggregated proteins bind to pattern recognition receptors on microglia and astroglia
197 in individuals carrying genetic variants in pattern recognition receptors or adaptors would result i
198 esignated biological binding partners, be it pattern recognition receptors or carbohydrate binding le
199 te that differences in the activation of key pattern recognition receptors resulted in the induction
201 analysis of the influence of human aging on pattern recognition receptors signaling and monocyte fun
202 ated molecular patterns (DAMPS) by cytosolic pattern recognition receptors such as NOD-like receptors
204 ular relevance to viral infections are those pattern recognition receptors that activate type I inter
205 epeat (NLR) proteins are a diverse family of pattern recognition receptors that are essential mediato
206 l IgM antibodies represent a class of innate pattern recognition receptors that recognize danger-asso
207 Toll-like receptors (TLR) are transmembrane pattern recognition receptors that recognize microbial l
208 e response" is mediated by germ line-encoded pattern recognition receptors that trigger activation of
211 lipoteichoic acid (LTA), which interact with pattern recognition receptors to mobilize immune respons
212 molecular patterns (DAMPs) and interact with pattern recognition receptors to modulate inflammatory r
213 lectins, such as galectin-1, can function as pattern recognition receptors to reduce infection and in
214 protein-mediated signaling through cytosolic pattern recognition receptors was required for polyinosi
216 recognize a wide array of self-antigens via pattern recognition receptors, adaptive immunity activat
217 ncRNAs expressed in cancer cells with innate pattern recognition receptors, and thereby assign a prev
219 l-like receptors (TLRs), first identified as pattern recognition receptors, are now recognized to ser
220 e endocytic C-type lectin receptors serve as pattern recognition receptors, detecting pathogens by th
221 zed by distinct families of germline-encoded pattern recognition receptors, endogenous and pathogen-d
222 ely activate distinct subtypes of macrophage pattern recognition receptors, including bacterial toll-
223 their environment through the expression of pattern recognition receptors, including Toll-like recep
224 The interplay between Candida species and pattern recognition receptors, interleukins, kynurenine,
225 ber of the Nod-like receptor (NLR) family of pattern recognition receptors, is a bacterial sensor tha
226 autophagy induced by nutrient deprivation or pattern recognition receptors, less is known about the e
227 nia, lung neutrophils increase expression of pattern recognition receptors, receptors for inflammator
228 tified 129 immunity-related genes, including pattern recognition receptors, signal modulators, few me
230 , rhIFN-gamma increased expression levels of pattern recognition receptors, such as Toll-like recepto
231 Pellino-mediated regulation of signaling by pattern recognition receptors, T-cell and B-cell recepto
232 signals released by dying cells, the role of pattern recognition receptors, the diverse subtypes of r
233 mes containing unshielded RNAs that activate pattern recognition receptors, thereby promoting tumor g
234 ecular patterns (PAMPs) by surface-localized pattern recognition receptors, which initiates a series
235 n immune system utilizes several families of pattern recognition receptors, which survey the intracel
236 he innate immune system is activated through pattern recognition receptors-which include transmembran
243 timulatory effects through the activation of pattern recognition receptors; however, synthetic versio
246 ude cell-intrinsic innate responses that use pattern-recognition receptors (PRRs) to detect viral pat
247 roduction of type I interferons triggered by pattern-recognition receptors (PRRs), but not that of th
248 he detection of viral double-stranded RNA by pattern-recognition receptors (RIG-I/MDA-5) and that NKG
249 s revealed that ALV infection is detected by pattern-recognition receptors (TLR9 and TLR3) leading to
250 hat the Brassicaceae may have evolved unique pattern-recognition receptors and antimicrobial root met
252 l established; this is mediated primarily by pattern-recognition receptors and is central to the acti
254 infection is sensed by a variety of cellular pattern-recognition receptors and triggers the synthesis
256 uitination of dectin-1 and dectin-2, two key pattern-recognition receptors for sensing Candida albica
257 a previously unknown function for microbial pattern-recognition receptors in the downregulation of i
258 ball-induced musculoskeletal trauma activate pattern-recognition receptors of the innate immune syste
261 d induction is a consequence of signaling by pattern-recognition receptors that have been selected ov
262 panded cnidarian-specific family of putative pattern-recognition receptors that might be involved in
263 spond to the gut microbiota through multiple pattern-recognition receptors, including TLRs and NLRs.
264 edicago truncatula possess very similar LysM pattern-recognition receptors, LjLYS6/MtLYK9 and MtLYR4,
265 profiling by MSI-CE-MS with temporal signal pattern recognition revealed new biomarkers for early de
266 cular diseases, but the microbiota-triggered pattern recognition signaling mechanisms that impact thr
268 in diseases is based primarily on the visual pattern recognition skills and expertise of the physicia
269 duction technique as a part of an integrated pattern recognition solution capable of identifying adul
270 dy was to examine the relative importance of pattern recognition systems and downstream mediators in
271 tic model of a cerebellar Purkinje cell in a pattern recognition task show that, in the absence of no
272 tems based on such probabilistic neurons for pattern recognition tasks in presence of lateral inhibit
273 100% by applying a random forest statistical pattern recognition technique to analytical data acquire
274 underlying habitats; and (2) an unsupervised pattern recognition technique to recover the temporal co
275 e analytical data were collected, supervised pattern recognition techniques such as linear discrimina
276 yzed using a combination of graph theory and pattern recognition techniques that resolve data structu
278 uNPs upon OP addition has been analyzed with pattern recognition techniques, including hierarchical c
279 l component analysis (PCA), three supervised pattern recognition techniques, Partial Least Squares Di
280 German propolis samples were analyzed using pattern recognition techniques, principal component anal
285 different honeys was developed through three-pattern recognition techniques: principal component anal
286 n three pillars: (i) the use of multivariate pattern-recognition techniques to develop brain signatur
288 itiate the cascade more specifically through pattern recognition, their activity still needs to be ti
289 s, and oscillatory computing, which performs pattern recognition through synchronization of coupled o
290 omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics c
291 n theory and artificial neural network (ANN) pattern recognition to classify exposure source based on
294 identify all studies that used multivariate pattern recognition to identify patterns of brain altera
295 esulting 2D fingerprints were interpreted by pattern recognition tools (i.e. template matching finger
296 n exponentially, with an increased number of pattern recognition tools and an increase in data set si
298 This work has largely emphasized object and pattern recognition, which suggests that these are more
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