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1 ions to the existing diagnostic criteria and classification scheme.
2 we designed and validated a miRNA-based risk classification scheme.
3 ded into three variant families based on one classification scheme.
4  dendritic parameters supported our neuronal classification scheme.
5 he Arabidopsis (Arabidopsis thaliana) genome classification scheme.
6 as an adjunct to the traditional categorical classification scheme.
7 cording to the Age-Related Eye Disease Study classification scheme.
8 ets compared to erratic compliers under this classification scheme.
9 nce trapped or Class II on the Robin and Day classification scheme.
10 10-year metastasis was used to develop a new classification scheme.
11 f plaque composition from the autoregressive classification scheme.
12 diologist observers and the trained computer classification scheme.
13 e domain pairs, based on a simple functional classification scheme.
14 n of Neisseria meningitidis are used in this classification scheme.
15 opic images with a modification of the Noyes classification scheme.
16 llator therapy were classified using the new classification scheme.
17 plications were measured with a standardized classification scheme.
18 cit assumptions about the current LIPID MAPS classification scheme.
19 ccording to an expert-panel-derived clinical classification scheme.
20 ture, providing the basis for a hierarchical classification scheme.
21 ge of HIV disease itself does not affect the classification scheme.
22 vival with the same precision as did the AGN classification scheme.
23 ing procedure followed by a machine learning classification scheme.
24 han 2 years of age is based largely on adult classification schemes.
25 encyclopedia and the Yahoo and DMOZ web page classification schemes.
26 es provides valuable information for protein classification schemes.
27      This has resulted also in more rational classification schemes.
28 e considered high-grade according to certain classification schemes.
29 t into group A2 of current plant cyclin gene classification schemes.
30 effective treatment strategies, and refining classification schemes.
31 with American Heart Association (AHA) plaque classification schemes.
32  group, an outline of the currently accepted classification scheme, a review of associated clinical s
33  performance of a computerized breast cancer classification scheme across the databases.
34  was used to create a novel miRNA-based risk classification scheme (AMLmiR36).
35                             We validated the classification scheme and identified dozens of novel mar
36                   LP-IC employs an iterative classification scheme and introduces a class dispersion
37 s have led to an update of the original FEVR classification scheme and more complete characterization
38  designed melanoma therapies based on such a classification scheme and the associated improvements in
39 amera and were graded using the Airlie House classification scheme and the Early Treatment Diabetic R
40  demonstrate the performance of the improved classification scheme and the flexibility of PheWAS enca
41 2008 at Dana Point included revisions of the classification scheme and updates on new trials and ther
42                               The 2 existing classification schemes and especially a new stroke risk
43 Our frame work focused on not only different classification schemes and feature selection algorithms,
44 dies will translate into array-based disease classification schemes and help optimise therapy for ind
45 haracterize individual sarcomas has improved classification schemes and hopefully will lead to indivi
46               Using two different prognostic classification schemes and measures, nearest centroid (H
47                       The development of new classification schemes and prognostic analyses for lymph
48  have now advanced to the point where better classification schemes and prognostic variables are bein
49 tandard morphologic evaluation in future MDS classification schemes and risk models.
50 gene status should be incorporated into risk classification schemes and suggest that patients who hav
51  a wide range of organisms and Gene Ontology classification schemes, and it can easily be customized
52 comprehensive, harmonizing with conventional classification schemes, and lacking superfluous subdivis
53  major differences between it and antecedent classification schemes, and to provide the rationale for
54           It is often not known whether such classification schemes are also supported by mechanistic
55                         Most of the existing classification schemes are based on the concepts of homo
56 ent distributional models, real datasets and classification schemes are empirically calculated.
57 tein conformation space, even though various classification schemes are extremely useful.
58 and electrophysiological criteria, but these classification schemes are often not generalizable acros
59                                    Age-based classification schemes are useful in identifying clinica
60                                              Classification schemes are useful when they elucidate co
61  Together, these data provide an ontological classification scheme associated with patient survival d
62 in the CAZY database, a glycosyl transferase classification scheme based on catalytic residue and seq
63 ata and colleagues developed a breast cancer classification scheme based on characterization of healt
64       Unique to the SFLD is its hierarchical classification scheme based on linking the specific part
65 oviruses are limited because of an imprecise classification scheme based on partial nucleotide sequen
66               MyTaxa also implements a novel classification scheme based on the genome-aggregate aver
67                 Herein we propose an updated classification scheme based on the molecular insights ga
68            For hematopoietic malignancies, a classification scheme based on the phenotypic similarity
69                                      Various classification schemes based on clinical criteria are be
70   A move toward implementation of relational classification schemes based on inherent properties of w
71                                              Classification schemes based on the pattern of blood pre
72    For example, among sensory neurons, can a classification scheme be devised that is based on their
73 ly captures the key features of the existing classification schemes but also provides a much richer o
74                                            A classification scheme, called ProtPair, is presented tha
75 heral nerves, a straightforward, dichotomous classification scheme can be used in which the vasculiti
76 captures and rationalizes the existing three classification schemes: Classes, (A, C and D, which vary
77  and could form the basis for a binding site classification scheme comparable to existing protein dom
78 Cardiology/American Heart Association lesion classification scheme dates from an era when balloon ang
79 llenges, including developing a standardized classification scheme, defining how the integrative prop
80 rization of annotated EST assemblies using a classification scheme developed at The Institute for Gen
81                            The algorithm and classification scheme developed can be used to describe
82 that can serve as components of a biological classification scheme directly correlated to the Gram st
83                                          The classification scheme distinguishes between the mobiliza
84 r classification is the most concise disease classification scheme, dividing the subtypes of PCBCL by
85                                However, most classification schemes do not robustly cluster all HER2+
86 nue to be poorly understood, and an adequate classification scheme does not exist.
87                    Several protein structure classification schemes exist that partition the protein
88               In conclusion, in the 2008 WHO classification scheme, FAB subclassification does not pr
89  with an evident etiology and that Frieden's classification scheme for ACC type VII needs to be refor
90                                 A supervised classification scheme for analyzing microarray expressio
91 ms to construct a first-generation molecular classification scheme for carcinomas of the prostate, br
92 ease, and monitoring HNP-3 levels as a tumor classification scheme for cutaneous T cell lymphomas, an
93                Here, we report a morphologic classification scheme for definitive PVN from the Banff
94      We recommend using this morphologic PVN classification scheme for diagnostic communication, espe
95                           Here, we propose a classification scheme for different levels of signaling
96         We define the roles of and propose a classification scheme for different oligomeric species b
97 usands of square kilometres and are a useful classification scheme for ecosystem monitoring and asses
98                            In this review, a classification scheme for gastrointestinal fistulas is p
99                                        A new classification scheme for healthcare-associated pneumoni
100                          Here, we describe a classification scheme for human breast cancer making use
101 of pallial and subpallial PVZs, as well as a classification scheme for identifying morphologically di
102 ry data, we developed a biological functions classification scheme for MR genes.
103 symptom and fever as a disease, an elaborate classification scheme for multiple types of fever, hypot
104 titers against microorganisms in Socransky's classification scheme for oral microbes.
105                     The ISGPF has proposed a classification scheme for pancreatic fistula based on cl
106            These findings validate the ISGPF classification scheme for pancreatic fistula.
107  capture sequencing approaches and provide a classification scheme for PDL SRs with implications for
108                                      A novel classification scheme for peripheral nerve sheath tumors
109 wise comparisons and our combined functional classification scheme for protein structures can be acce
110                     This review introduces a classification scheme for psychiatric symptoms, describi
111 s group III in the World Health Organization classification scheme for pulmonary hypertension, may re
112                                     A recent classification scheme for retinoblastoma vitreous seeds
113 mation on postfire regeneration to develop a classification scheme for successional pathways, represe
114 genies of these two groups and suggest a new classification scheme for the beta-lactamases.
115                 In this review, we discuss a classification scheme for the cutaneous vasculitides, ou
116                   Furthermore, it provides a classification scheme for the different technologies app
117 ed all share the common thread that a stable classification scheme for the group remains unresolved.
118                                            A classification scheme for these compounds is presented t
119 mal degradation of proteins and to suggest a classification scheme for these disorders.
120  1990, there has been a need to devise a new classification scheme for these enzymes because many RHO
121 id aortic arch surgery centered around a new classification scheme for these procedures.
122  histopathologic correlation of the clinical classification scheme for vitreous seeds in retinoblasto
123                                      Current classification schemes for acute myocardial infarction (
124                                              Classification schemes for hypertension are helpful in d
125                       Distinctive diagnostic classification schemes for insomnia diagnoses are availa
126                                              Classification schemes for model building were computed
127       This has resulted in several different classification schemes for parasites and changes in para
128                                              Classification schemes for the metabolome are a promisin
129 d how genome-wide analyses are reshaping the classification schemes for tumors and enhancing prognost
130 racts (organic and aqueous phases) to create classification schemes for two species of shrimp from fo
131 dic table of niches and feasibility of niche classification schemes from functional trait and perform
132 e built a novel function-based microorganism classification scheme, functional-repertoire similarity-
133                                However, this classification scheme has a number of limitations.
134                              The descriptive classification scheme has aided phenotypic characterizat
135  It is, however, commonly accepted that this classification scheme has limited clinical utility based
136 ) infection, yet a commonly accepted genetic classification scheme has not been established.
137                        A variety of clinical classification schemes have been proposed as a means to
138                                              Classification schemes have been proposed based on anato
139  the molecular and environmental causes, the classification schemes have changed to reflect different
140 Biologically and clinically meaningful tumor classification schemes have long been sought.
141                            Neither GOLD COPD classification schemes have sufficient discriminatory po
142                                              Classification schemes have to match functional root typ
143     The authors sought to validate the ISGPF classification scheme in a large cohort of patients foll
144 ce, we select features that best benefit the classification scheme in the kernel space.
145 in C. elegans may be paradigmatic for neuron classification schemes in vertebrate nervous systems.
146 rphologic characteristics based on a defined classification scheme, including the presence of interna
147 dditional variable being incorporated in the classification scheme increases complexity and costs in
148                                  By deriving classification scheme-independent measures of functional
149                   While keeping the original classification scheme intact, we have changed the produc
150 reas researchers need to incorporate the new classification scheme into study development and analysi
151 ing generation algorithm, which maps various classification schemes into GO, and (3) a consensus algo
152                                 The proposed classification scheme is applied to several real cancer
153 nd multipatching methods; and (iii) our cell classification scheme is arbitrary and we have simply re
154                                      The new classification scheme is based on the hypothesis that, u
155                  This novel stability-guided classification scheme is delivered in two flavours: duri
156 assification to data reported using an older classification scheme is demonstrated.
157                                     A simple classification scheme is designed to analyze the strengt
158 athways for a system of any complexity and a classification scheme is introduced for the characteriza
159                                         This classification scheme is more practical than actual esti
160                 Specifically, a more precise classification scheme is needed to better describe the f
161                                 However, his classification scheme is not built on sufficient evidenc
162                               Here a general classification scheme is presented of the relationship b
163                                         This classification scheme is probably an imprecise predictor
164     On the basis of this analysis, a genetic classification scheme is proposed that differentiates 99
165     One of the many benefits of a successful classification scheme is that it allows workers, within
166                     Our network-based enzyme classification scheme is thus a promising tool for the i
167                                         This classification scheme is well supported by the analysis
168                             Harmonization of classification schemes is needed to use MOA classificati
169 ant issues of debate over the years, such as classification schemes, management techniques, imaging a
170 eity that potentially underlies the existing classification scheme might limit discovery of etiology
171                                            A classification scheme of deaths that occur in antiarrhyt
172      Gene profiling provides a genomic-based classification scheme of diagnostic and prognostic utili
173 ILD syndrome"; (4) describe a new pathologic classification scheme of DLD in infants; (5) outline sup
174                              Recognizing the classification scheme of HF with a reduced ejection frac
175                           In the most recent classification scheme of non-Hodgkin's lymphomas, these
176                                        A new classification scheme of patterns based on ocular motor
177                           Here, we provide a classification scheme of topological phonons based on lo
178 SS from G+ and G- bacteria, we propose a new classification scheme of VirB8-like proteins.
179                    This update discusses the classification schemes of atrial flutter and macroreentr
180                      We also applied ADEMA's classification scheme on three different cohorts of CF a
181 he potential impact of prominent stroke risk classification schemes on this decision in a large sampl
182                               Autoregressive classification schemes performed better than classic Fou
183                               Autoregressive classification schemes performed better than those from
184                                       Such a classification scheme points out a simple way to constru
185 c statistic greater than 0.5, the 2 existing classification schemes predicted stroke better than chan
186 mmarized and discussed, including the device classification scheme, premarket approval, premarket not
187 of ferret ganglion cells and report that the classification scheme previously developed for cat gangl
188 e classified into four groups using existing classification schemes: primary-like (PL), onset (O), su
189 larities and functional motifs into a single classification scheme, ProClass helps to reveal domain a
190 larities and functional motifs into a single classification scheme, ProClass helps to reveal domain a
191 h is reflected by the variety of interneuron classification schemes proposed in recent years.
192                         We propose that this classification scheme provides a basis for understanding
193 n, are important elements in HIV staging and classification schemes, raise pertinent questions about
194              Of particular note, the present classification scheme recognizes the rapid evolution of
195 hical representation) are used as a basis of classification schemes related to different aspects of s
196 th factor dependence, and suggest a two-tier classification scheme relating p110alpha and p85alpha mu
197 ecent advances in characterizing cell types, classification schemes remain ambiguous.
198  although the robustness of these models and classification schemes remains to be seen.
199                                         This classification scheme results in over 15 000 actives and
200 the evidence supporting the evolution of the classification scheme since its inception.
201                     We propose a descriptive classification scheme that 1) fully describes and tabula
202  aspects of arrhythmia investigations, a new classification scheme that addresses these issues is des
203            Here, we describe a genomic-based classification scheme that is derived from the combined
204 issue sarcoma would identify a genomic-based classification scheme that is useful in diagnosis.
205                   This study defines a novel classification scheme that may have value for patient st
206 molecular signal processing algorithms and a classification scheme that organizes known regulatory st
207 s a byproduct, we develop an order-parameter classification scheme that predicts supertransitions bet
208 e community-based study sample, we propose a classification scheme that provides a standardized and v
209  malignant gliomas were analyzed and a novel classification scheme that segregated short-term and lon
210 erpretations and opens the door to a new GRB classification scheme that straddles both long- and shor
211               This research explores a novel classification scheme that uses fuzzy logic theory to co
212                                     A simple classification scheme that uses only the presence or abs
213 d recommended development of a new practical classification scheme that would (a) allow easier compar
214 ors similar to known genes, or on functional classification schemes that amalgamate many types of pro
215 ility and allow us to generate probabilistic classification schemes that naturally reflect the uncert
216 the American Heart Association's recommended classification scheme, the lesions were classified into
217 contains 6634 known DDIs, and features a new classification scheme to assign confidence levels to pre
218 sions, we sought to develop a more effective classification scheme to better identify both patients a
219  discussed at these meetings and developed a classification scheme to code the data.
220 rt to develop, test and apply a standardized classification scheme to constitutional variants in the
221 ding to the International Labor Organization classification scheme to determine if criteria for rapid
222         Lastly, we began relating our motion classification scheme to function using descriptions fro
223 ios of adjacent genes was used in a Bayesian classification scheme to predict whether the genes are i
224 ting cases, and also upgraded the functional classification scheme to reflect continuous advance in t
225                       The system then used a classification scheme to score the lesions by the likeli
226 e consider the potential application of this classification scheme to the marine environment, and off
227                                          The classification scheme used in this study may be a useful
228 ile ranged from 28% to 32%, depending on the classification scheme used.
229  the structure similarity score and original classification scheme used.
230  > or =500/microL]) was reduced to a 5-stage classification scheme using a backward stepwise regressi
231                                          The classification scheme was based on identifying gene subs
232                            This phylogenetic classification scheme was converted to a new systematic
233  analysis revealed the overall VE/VCO2 slope classification scheme was significant (area under the cu
234 ailed to distinguish the other subtypes, the classification scheme was supported by an analysis of cl
235                                          The classification scheme was trained with 646 pathologicall
236                                          The classification scheme was used in a clinical trial of a
237                       For the test series, a classification scheme was used to distinguish highly act
238 enal survival rates by categories of the AGN classification scheme were 91% for focal, 69% for mixed,
239                                 Two existing classification schemes were combined into a new stroke-r
240                             When the various classification schemes were compared, a modified number-
241                                         Five classification schemes were tested to identify the most
242 -risk scheme, the CHADS( 2) index, and all 3 classification schemes were validated.
243                                            A classification scheme which used all eight fluorescent c
244 e HR subtypes were distinct from the current classification scheme, which is based on estrogen recept
245              This is in keeping with current classification schemes, which recognize subtypes of low
246                         We believe that this classification scheme will provide the reader with a rap
247 r the first time, we correlate this clinical classification scheme with its histopathologic features.
248             We aimed to develop a prognostic classification scheme with treatment guidance for Asian
249 ed established prognostic factors to develop classification schemes with better discrimination than c
250 umoniae (pseudopneumococcus) has complicated classification schemes within members of the "mitis" str

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