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1 ructures and classify them using topological data analysis.

2 and informed by extensive population health data analysis.

3 Both trials were completed and closed before data analysis.

4 sed for experimental design and multivariate data analysis.

5 l SERS approach without the need for complex data analysis.

6 with a cutoff date of November 1, 2015, for data analysis.

7 f the demodulation frequency (nomega) during data analysis.

8 contributions to the FSCV data that confound data analysis.

9 d by hierarchical clustering and topological data analysis.

10 n the time and effort required for miRNA-seq data analysis.

11 ntegrated pipeline for Iso-Seq transcriptome data analysis.

12 followed from 33 to 84 months at the time of data analysis.

13 esonance (NMR) spectroscopy and multivariate data analysis.

14 ves the reliability of stable isotope tracer data analysis.

15 , ultracentrifugation, data acquisition, and data analysis.

16 lf has become a workhorse in single molecule data analysis.

17 e), were utilized to expedite pyrosequencing data analysis.

18 with a reliable and robust framework for RNA data analysis.

19 nce the study was an observational secondary data analysis.

20 the standard preprocessing pipeline for MRI data analysis.

21 Both outcomes were determined prior to data analysis.

22 tresses, as indicated by previous microarray data analysis.

23 n online platform for high-throughput screen data analysis.

24 flexible, streamlined and comprehensive CLIP data analysis.

25 Retrospective data analysis.

26 (PiMP) fulfils an unmet need in metabolomics data analysis.

27 -links, independent of the software used for data analysis.

28 in scientific studies to improve comparative data analysis.

29 sing, DNA sequencing, control inclusion, and data analysis.

30 library used for targeted, peptide-centric, data analysis.

31 crease the accuracy and accessibility of GBS data analysis.

32 an intestinal biopsies were used in clinical data analysis.

33 R and Bioconductor were used for data analysis.

34 and a new algorithmic design XlinkX v2.0 for data analysis.

35 imple experimental setup and straightforward data analysis.

36 complexity that is compatible with real-time data analysis.

37 alysis, Cluster Analysis) have been used for data analysis.

38 -automated user-guided error correction, and data analysis.

39 lomics techniques, biospecimen handling, and data analysis; (3) application to studying the role of t

41 codes to study in-hospital events); and (3) data analysis (accounting for complex survey design of t

42 tation of the assay (experimental design and data analysis), affinities of the monosialoganglioside l

43 lex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights i

45 ato Expression Atlas to facilitate effective data analysis, allowing the simultaneous visualization o

46 larized matrix factorization, (2) functional data analysis and (3) canonical correlation analysis (CC

47 vailable air-cooled CCD, a new estimator for data analysis and a high heralding efficiency photon-pai

48 ition, we present an algorithm for automated data analysis and a multiplexing system promoting practi

49 nclusions are strongly supported by rigorous data analysis and by numerical simulations, all in perfe

52 amatically simplifies high-throughput screen data analysis and enables researchers to dig deep into t

53 duces computational challenges for automated data analysis and hinders translation of new biological

54 gh the combination of retrospective clinical data analysis and in vitro imaging in the space between

58 HMM) has been a workhorse of single-molecule data analysis and is now commonly used as a stand-alone

59 s are pledging to make code they produce for data analysis and modeling open source, and are actively

60 n urgent need to define common standards for data analysis and reporting formats of cross-linked prod

62 e-based approaches to vertically distributed data analysis and test their performance using 5 example

64 in the quality of high-throughput biosorter data analysis and visualization, opening new options for

65 can be estimated at different points during data analysis, and are most relevant for residue or prot

66 line tools, real-time computing, interactive data analysis, and cross-platform analyses feature WebGL

67 The performance was compared to a 'naive' data analysis approach, by using computer simulation, ev

69 ovements in imaging, sensor technologies and data analysis are now making high-throughput root, shoot

72 ces are typically discounted in modeling and data analysis because their contributions are assumed to

74 ross-linking data sets requires an automated data analysis by dedicated software tools, but applying

75 e entire procedure, from virus production to data analysis, can be completed in approximately 10 d.

76 several experimental design considerations, data analysis challenges, and statistical epidemiologica

77 xtending from March 2011 to April 2015, with data analysis conducted from November 2015 to May 2016.

78 ent eligibility criteria; conducted original data analysis; considered safety concerns, potential ben

81 v) mass spectrometry (MS) analysis; and (vi) data analysis for identification of glycans using in-hou

86 t-generation sequencing data, with iterative data analysis from targeted, whole-exome, or whole-genom

91 tlas are from a new high-depth Structure-seq data analysis in Arabidopsis thaliana, released with thi

93 e cases that illustrate the value of putting data analysis in the hands of those looking to explore t

96 ques in disciplines dealing with big network data analysis including biology, medicine, and social sc

97 Subsequently, an unsupervised multivariate data analysis including principal component analysis (PC

98 2 integrates all steps required for ChIA-PET data analysis, including linker trimming, read alignment

100 health care data and computational tools for data analysis is that the process of data mining can bec

101 machine vision techniques improve, automated data analysis may become an increasingly practical suppl

105 rbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate th

107 ars to be suitable for the evaluation of all data analysis methods that utilize the proper experiment

110 east and Ovarian Cancer in Cologne, Germany; data analysis, November 1 through December 31, 2015.

114 tly, validated quantitatively by single-cell data analysis of a synthetic gene circuit integrated in

120 e-directed mutagenesis, and X-ray structural data analysis of Saccharomyces cerevisiae eEF1A, we iden

121 "flippant" allows for quick, reproducible data analysis of scramblase activity assays and provides

123 However, the cost of providing cloud-based data analysis of the mounting datasets remains a concern

124 to this challenge is "TDA," or "topological data analysis," one of the primary aims of which is prov

126 We present a user-friendly, cloud-based, data analysis pipeline for the deconvolution of pooled s

127 or all data points to be propagated down the data analysis pipeline, weighed with their probability.

128 lt a comprehensive and customizable sRNA-Seq data analysis pipeline-sRNAnalyzer, which enables: (i) c

130 h tape-lift, Raman mapping, and multivariate data analysis presents a useful tool for forensic invest

131 le, providing a more objective and automated data analysis procedure for absolute dPCR quantification

132 Through our studies, we demonstrate a new data analysis procedure for extracting the dynamic Stoke

133 that have proven useful in each stage of the data analysis process, on the basis of the experience of

135 c oxidase subunit I) and subsequent sequence data analysis provided experimental evidence of low-leve

136 e frequently used in biological studies, NGS data analysis remains a challenging, time-consuming, and

137 records database from the Hong Kong Clinical Data Analysis & Reporting System was used to identify 25

141 neuroimaging must define best practices for data analysis, results reporting, and algorithm and data

151 emistry (IHC) staining and public microarray data analysis showing that DACH1 was higher in normal br

152 This combination of experimental design and data analysis software allows the identity of a CRM, the

154 describe optimized fragmentation schemes and data analysis strategies substantially enhancing the dep

155 data-independent acquisition and a targeted data analysis strategy that aims to maintain the favorab

156 data-independent acquisition and a targeted data analysis strategy that aims to maintain the favorab

160 nced mathematical approach named topological data analysis (TDA) to interrogate two perturbed network

162 community engagement, disease surveillance & data analysis, technical quality & capacity building, an

163 , the implementation of modern detection and data analysis techniques has resulted in marked improvem

165 ally designed to expose graduate students to data analysis techniques, to develop scientific writing

166 we present a Bayesian model for exploratory data analysis that is capable of automatically identifyi

168 from Biostars, a site focusing on BIOLOGICAL DATA ANALYSIS: The Bio-TDS was compared to five similar

170 n a tail-bud-like geometry with experimental data analysis to assess the importance of ordered and di

171 iled using SPME-GCMS coupled to multivariate data analysis to explore date fruit aroma composition an

172 pectroscopy in combination with multivariate data analysis to quantify changes in secondary structure

184 requently used and accessible mass cytometry data analysis tools, including principal component analy

187 dies highlight the efficiency of exploratory data analysis using computational tools and comparative

194 een January 20, 2004, and December 19, 2011; data analysis was conducted between November 12, 2015, a

201 re network was queried starting in 2009, and data analysis was conducted from December 1, 2014, to Au

203 m October 26, 2005, to July 8, 2010, and the data analysis was conducted from December 2014 to Februa

209 ted from July 1, 2008, to June 30, 2015, and data analysis was conducted from July 1, 2015, to August

227 o a reference regarded as 100% viable cells; data analysis was inspired by that in quantitative polym

228 face of [Formula: see text] The focus of the data analysis was on an 11-residue polypeptide segment i

237 w-up data were used until September 1, 2013; data analysis was performed from August 1, 2013, to June

250 was conducted from May 2011 to October 2013; data analysis was performed from January 2014 to October

271 m December 11, 2012, to October 2, 2015, and data analysis was performed from November 15, 2015, to M

276 from October 18, 2011 to December 30, 2013; data analysis was performed from October 18, 2011 to May

281 uclear Medicine, a retrospective multicenter data analysis was started in 2015 to evaluate efficacy a

283 ling, statistical simulation and large-scale data analysis we study the properties of linear regulato

285 estimating equations (GEEs) for longitudinal data analysis, we focus on the concordant components and

288 edure and maintain its high power in genomic data analysis, we propose a new multiple testing procedu

292 ntial framework for GSEA based on functional data analysis, which utilizes the temporal information b

297 ase severity index generated by multivariate data analysis with numerous structural MRI measures as i

298 hese methods can be integrated with existing data analysis workflows by providing initial preprocessi

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