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1 d the class of the samples (functional class scoring methods).
2 rmal use, is defined and calculated for each scoring method.
3 ies in hamsters was as sensitive as the grid-scoring method.
4  the estimates are obtained by a fast Fisher-scoring method.
5 dex of FDG accumulation and also by a visual scoring method.
6  integrate these findings into a unified CAC scoring method.
7 n the well-established T1D GRS2 genetic risk scoring method.
8 ore sensitive than the macroscopic arthritis scoring method.
9 rdiovascular estimates did not depend on the scoring method.
10 ore sensitive than the macroscopic arthritis scoring method.
11 and compared it with the commonly used CF-CT scoring method.
12  term-equivalent age based on an established scoring method.
13 ured using the modified Sharp/van der Heijde scoring method.
14 zes the static PPI topology, or the additive scoring method.
15 sessed according to the SIOPEN and the Curie scoring method.
16 protein-ligand interaction fingerprint (IFP) scoring method.
17  used an in-house developed holistic binding scoring method.
18 t the MPN-SAF TSS is an appropriate, unified scoring method.
19  Improvement Program using the retrospective scoring method.
20 ssociation curve analysis for use as a novel scoring method.
21 rmined binding specificities, using a simple scoring method.
22 have a significant effect on current calcium scoring methods.
23 xisting subjective plaque volume or stenosis scoring methods.
24  new computer-based methods with established scoring methods.
25 and are ranked with standard performance and scoring methods.
26  (GEM1402) in untreated mUM using propensity scoring methods.
27 ified peptides compared to using traditional scoring methods.
28 mputed functional scores from representative scoring methods.
29 ced disease scoring compared to standard EAE scoring methods.
30 rmances of multi-trait genomic and polygenic scoring methods.
31 orted, definitions and priority of data, and scoring methods.
32 data were used to demonstrate differences in scoring methods.
33 minimal rs=0.998; maximal rs=0.999) for both scoring methods.
34 ts are initially scored by category-specific scoring methods.
35  to show that our approach outperforms other scoring methods.
36  by using multivariate models and propensity-scoring methods.
37 testing than the use of clinical criteria or scoring methods.
38 ase severity and compared it to standard EAE scoring methods.
39 re significantly more accurate than clinical scoring methods.
40 f composite feasibility scores, depending on scoring method, 9.4-10.0], Brazil [8.7- 9.7], Chile [8.8
41                                   Using this scoring method, (90)Y-SMT 487 appears effective in impro
42                         Utilizing propensity scoring methods, a matched non-CTO cohort of 2,007 patie
43  and reference for the analysis of polygenic scoring methods across biobanks.
44                       Symptom and medication scoring methods across trials, although all designed to
45 ment of known actives compared to the use of scoring methods alone.
46   In active learning, the minimum confidence scoring method and a sampling technique based on a data
47        We further integrated this model as a scoring method and developed a dynamic programming (DP)
48 ieved through integration of newly developed scoring methods and advanced deep learning-based residue
49 cided how data should be reported, including scoring methods and category details.
50  of semantic similarity measures, gene-level scoring methods and clustering method that perform best
51                We used four fluorophotometry scoring methods and correlated them with OSDI, TBUT, flu
52  We identified multiple differences in trial scoring methods and design that make comparison among tr
53 el is thus a tool which outperforms standard scoring methods and generates insights into, and control
54 were fit to evaluate the association between scoring methods and outcomes.
55  system and, in combination with established scoring methods and statistical analysis, test the perfo
56 e demonstrate that it outperforms integrated scoring methods and the ensemble score successfully prio
57 ssion in tumors was assessed using histology scoring methods and varied in negative correlation with
58 ions, this method correlates well with other scoring methods and yet is able to reveal good-quality m
59  were classified by baseline CDI severity (4 scoring methods) and outcomes within 40 days (death, int
60 everity of illness (defined by four distinct scoring methods), and clinical outcomes were recorded.
61 , severity of illness (defined by 4 distinct scoring methods), and clinical outcomes were recorded.
62 ple features of OA using the Whole-Organ MRI scoring method, and radiographs were read for Kellgren a
63 ers were evaluated using a semi-quantitative scoring method, and the resulting data was dichotomized
64  measure, changes to its component tests and scoring method are needed.
65 icted maximum likelihood (REML) and Fisher's scoring method are used to estimate variance components
66                                Numerous risk scoring methods are available to the healthcare professi
67 ommon descent, and so the existing alignment scoring methods are not well suited for aligning such se
68  male fertility; however, traditional manual scoring methods are often subjective and labor-intensive
69                 Gene set-based single-sample scoring methods are promising to elucidate patient level
70                                      If risk scoring methods are to be widely used in general practic
71  neurological deficits assessed by different scoring methods as compared to MCAO group.
72  Ferriman-Gallwey (mFG) instrument, a visual scoring method assessing androgen-dependent hair growth
73              The CAPRI algorithm relies on a scoring method based on a probabilistic theory developed
74 ease) and two datasets of influenza when the scoring method based on biochemical properties of amino
75 al structure of the instrument and develop a scoring method based on scales and subscales.
76        To compare measurement variability of scoring methods, coefficients of variation for all proto
77 also unclear whether severity assessed by HS scoring methods correlate with partnered decision-making
78 between T-PioDock and other state-of-the-art scoring methods establishes T-PioDock as the best perfor
79 oronary calcium score (SWCS), an alternative scoring method for CAC that assigns scores to individual
80 A (sgRNA) libraries and a robust statistical scoring method for calculating genetic interactions (GIs
81                           We present a novel scoring method for de novo interpretation of peptides fr
82                                  I present a scoring method for eliciting truthful subjective data in
83   Hepatocyte proliferation, as assessed by a scoring method for mitotic index and proliferating nucle
84 formance of qualitative and semiquantitative scoring methods for (18)F-FDG PET assessment in large-ve
85          SCARlink outperformed existing gene scoring methods for imputing gene expression from chroma
86        In addition, we examine two different scoring methods for weighting the type of amino acid sub
87 ssue Expression), a novel tissue-specificity scoring method, for grouping transcripts into four expre
88 verity was assessed using a semiquantitative scoring method from zero to four.
89  Although several deep learning (DL) calcium scoring methods have achieved excellent performance for
90                       The existing automated scoring methods have achieved high accuracy but are not
91 the literature because studies reporting new scoring methods have not validated their models prospect
92       The in-depth characterization of these scoring methods highlights the importance for a rational
93 using self-administered swabs and the Nugent scoring method in early pregnancy, at 32 wk of gestation
94 is maintained with the Relative Read Support scoring method in SCANVIS, and we showcase some visualiz
95 parisons and outperforms existing similarity scoring methods in its sensitivity and agreement with ex
96 ts meeting severe CDI criteria by 4 severity scoring methods in patients receiving versus not receivi
97 meeting severe CDI criteria by four severity scoring methods, in patients receiving versus not receiv
98 abilistic approach over the current genotype scoring methods, in terms of both the accuracy of haplot
99 ve performance of 18 current deleteriousness-scoring methods, including 11 function prediction scores
100 ce, ProtAlign-ARG employs an alignment-based scoring method, incorporating bit scores and e-values to
101 on of neoplastic tissue, testing algorithms, scoring methods, interpretation and reporting of results
102                     Relative to standard EAE scoring methods, IRAMS showed comparable measurement of
103 essed in a direct fashion, and the viability scoring method is compared to model live/dead systems fo
104 curate than the PHQ2, and that the algorithm scoring method is preferred to the linear cut-off score.
105                       The retrospective risk scoring method is valid and supports use of individual p
106              Unlike existing one-dimensional scoring methods, MACIE views variant functionality as a
107                         This new prospective scoring method may be used to assess MPN symptom burden
108                         Here, we developed a scoring method, namely functional genomic complexity (FG
109                                          The scoring methods of search programs often generate cases
110 n, we have compared ITScore-PR with 10 other scoring methods on four diverse test sets.
111 eens, GIT substantially outperforms previous scoring methods on target identification on HIP and HOP
112    To date, Probalign is among the very best scoring methods on the BAliBASE, HOMSTRAD and OXBENCH be
113 nd contrasted these with two visual fibrosis-scoring methods on trichrome-stained slides.
114 ore of >=2+ membrane staining using the PS2+ scoring method), one or more lesions with measurable dis
115                      Radiologists used three scoring methods: overall visual assessment, segmented ve
116              More broadly, the physics-based scoring method performs well on highly charged binding s
117                                    We used a scoring method proposed by Trichopoulou et al (1) and fo
118 ith ER expression measured by 3 different ER scoring methods: qualitative scoring (0-3+), the Allred
119 r, current cross-linked spectrum match (CSM) scoring methods rely heavily on mass-to-charge ratio (m/
120  can be compared using circular plots or the scoring methods, sensitivity and positive predictive val
121 isting parameters such as window size, novel-scoring methods such as central bonusing and methods of
122     By a visual, semiquantitative 20-segment scoring method, summed stress scores (SSS) and summed re
123  2 expert nuclear medicine physicians with a scoring method that attributed a score of 0, 0.5, or 1 f
124         To provide a standardized confidence-scoring method that can be applied to tens of thousands
125                             We present a new scoring method that uses a rapid presearch method and a
126 rare-variant association tests and polygenic scoring methods, that focus on putative causal variants.
127 (123)I-metaiodobenzylguanidine ((123)I-MIBG) scoring method (the Curie score, or CS) was previously e
128                       While being a rigorous scoring method, the MCC does not take into account the a
129                    Compared with traditional scoring methods, the ASM can be used more precisely to q
130            As a case study, we apply the GAQ scoring method to a set of diverse eukaryotes and demons
131                                We describe a scoring method to identify evolutionary maintenance of l
132 e prioritized using the integrative weighted scoring method to identify regulatory ones.
133 latform to this discrepancy we applied the z-scoring method to minimize the impact of platform and co
134                      We describe a practical scoring method to predict colorectal cancers.
135 al search and a residue-pair transform (RPX) scoring method to rapidly search through multidimensiona
136                      Application of the PSSM scoring method to reconstructed virus phylogenies of 11
137 urvey of an exhaustive list of single-sample scoring methods to assess their stability and reproducib
138  silico predicted MS/MS spectra and improved scoring methods to offer more accurate MS/MS spectral pr
139 ractions, or in combination with other AP-MS scoring methods to significantly improve inferences.
140                    Most previously described scoring methods use a set of likely true positives to tr
141 ct was evident regardless of the nociceptive scoring method used (weighted scores or flinch-frequency
142                                          Our scoring method uses a probabilistic network whose struct
143  browse SL networks and assess the impact of scoring methods using Venn diagrams.
144                      The performance of each scoring method was assessed by intrarater reliability us
145                                            A scoring method was developed based on this conceptual mo
146  focused MitoPhen-based phenotype similarity scoring method was tested in a separate genetically diag
147                                      The new scoring method was validated in the U.S. cohort using th
148  a summary of outcome measure components and scoring methods was provided to participants.
149                         Using a range-rarity scoring method we identified where clusters of endemic s
150 her research on developing improved database scoring methods, we modified the software to allow users
151   Here, we present an in silico modeling and scoring method which exploits the structural properties
152 rospective venous thromboembolism (VTE) risk scoring method, which was developed at the University of
153 perimentally, co-twin control and propensity scoring methods--which have complementary strengths and
154 cts typically neglected in the faster static scoring methods, while entropy plays a greater role in p
155 of arthritis using clinical and histological scoring methods with almost no apoptosis.
156  We developed MACA by testing four cell-type scoring methods with two public cell-marker databases as
157 erapy by MIBG scan, using a semiquantitative scoring method, with the end induction response and even
158 hese challenges by developing RosettaDEER, a scoring method within the Rosetta software suite capable

 
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