ライフサイエンスコーパス: batch

1 f Quaker beans in a natural specialty coffee batch.

2 urity, and impurity profile are met for each batch.

3 acquired from samples representative of the batch.

4 ised procedure was scaled up to a half-litre batch.

5 -cured ham muscles, from the same production batch.

6 ailable for large studies involving multiple batches.

7 mples often need to be processed in multiple batches.

8 imization theory to adaptively select sample batches.

9 as 10.1 for small batches and 16.8 for large batches.

10 al signals by transferring information among batches.

11 s into sub-series corresponding to estimated batches.

12 to technical differences arising in multiple batches.

13 data simulating new incoming data in 6-month batches.

14 number of batches of SQ-LNS (28 sachets per batch, 6 batches total) received was 2.3 +/- 0.8 (i.e.,

15 The multitemperature batch adsorption data and surface complexation models in

16 s and the liquid phases via breakthrough and batch adsorption experiments.

17 Batch adsorption studies were carried out by varying the

18 butes can distinguish between Cheddar cheese batches after 56 days.

19 The stand-alone version supports batch analysis and user-provided MS/MS data.

20 tron balances from laboratory experiments in batch and column reactors showed that 3.6% to 11% of the

21 The tests in batch and continuously stirred tank reactor systems sugg

22 MPC-1-coated vessels enable batch and flow photocatalysis, even with opaque reaction

23 rochemical oxidations at room temperature in batch and flow, we conclude that continuous flow electro

24 vity to the homogeneous catalyst employed in batch and maintain this performance over ten catalyst re

25 al CHO cell line producing a BisAb using fed-batch and perfusion processes.

26 center received each week was 10.1 for small batches and 16.8 for large batches.

27 of human plasma samples were split into two batches and analyzed in two individual labs for untarget

28 , for unifying the final colour of different batches and barrels.

29 signatures from the PAT tools across various batches and campaigns can be analyzed to facilitate real

30 stimated extra-Poisson variation at aliquot, batch, and lab levels.

31 ensive, inconsistent across laboratories and batch, and produce uneven staining that is prone to misi

32 covariates to correct for sex, age, library batches, and 1 surrogate variable component.

33 tory practices, control of reaction systems (batch- and flow-based), extraction systems, chromatograp

34 For example, batch annotation of TCR repertoire sequencing samples al

35 We establish a straightforward batch approach for synthesizing uniform, deformable and

36 Here we present a multi-batch approach to in-vivo studies to improve replicabili

37 cts, as long as technical differences across batches are smaller than true biological variations.

38 iency for typical kinetic experimentation in batch as well.

39 d methods to detect small molecules in a one-batch assay.

40 In this work, laboratory-scale batch assays were designed to investigate how a mixed mi

41 ten-variable experimental space, driven by a batched Bayesian search algorithm(16-18).

42 As a result, the GlcNAc titer in a 15-l fed-batch bioreactor increased from 59.9 g/l to 97.1 g/l wit

43 Analyzing data with multiple batches, both generated from standardized quality contro

44 umella as the most abundant genus across all batches, but red wines were characterized by higher bact

45 USD); however, because of difference in the batching capabilities, the price per sample for WGS was

46 one software system makes a wide variety of batch chemistry accessible.

47 SAUCIE can batch correct and identify cluster-based signatures of a

48 SVA)-based algorithms, are commonly used for batch correction and more recently for studying 'wanted'

49 edefined intervals and enables a single-step batch correction and quantification for high-throughput

50 Using the framework, we evaluated five batch correction methods applied to RNA-seq data of six

51 ross FFPE/FF and platforms using established batch correction methods as required to increase cohort

52 an perform quality filtering, normalization, batch correction, clustering, cell type annotation and d

53 ore previous integration strategies, such as batch-correction and model ensembles, and introduce a ne

54 ly as a simple means to regulate and sustain batch crystallization and could facilitate the self-asse

55 ally, we show that ribosome hibernation in a batch culture is induced at an approximately two-fold lo

56 s for headspace gas analysis above bacterial batch cultures by spectroscopy, Raman spectroscopy enhan

57 putational comparison between continuous and batch cultures could explain seemingly conflicting exper

58 Included are a batch culturing system for sustained growth of subject-s

59 d efficient caproate production in the first batch cycle.

60 ough the increased confidence from the multi-batch design, we reduce the need to replicate the experi

61 Although immunoassays are prone to antibody batch differences, detection methods and variation betwe

62 en batches, while maintaining minimal within batch dispersion.

63 Nanocrystals from the same synthesis batch display what are often presumed to be small but po

64 We examined this effect in batch dissolution experiments using two structurally dis

65 aged 8-13 mo who received >=3 monthly SQ-LNS batch distributions had higher anthropometry z scores [l

66 of up to 5700 could be achieved in a single batch, due to the synergistic participation of the Ba(2+

67 sion profiles among the libraries is low and batch effect biases make integration of data between lib

68 differential expression analysis and reduces batch effect compared with other existing methods.

69 user-friendly package, BeCorrect, to perform batch effect correction and visualization of corrected A

70 Batch effect correction is justified by higher intra-gro

71 It can be combined with down-stream batch effect correction methods to further correct for b

72 nnot be corrected by post hoc application of batch effect correction methods.

73 d approach for normalization, imputation and batch effect correction.

74 ncorporating new objectives that disentangle batch effect from biological features, we show that the

75 Previous approaches to minimize the batch effect have commonly focused on normalizing the lo

76 but the ever increasing number of cells and batch effect impose computational challenges.

77 Batch effect is a frequent challenge in deep sequencing

78 we developed a new approach that address the batch effect issue in the preprocessing stage, resulting

79 Removing outliers without batch effect modeling performed the best in term of dete

80 outlier removal as well as with and without batch effect modeling.

81 not explicitly require batch information for batch effect removal, and can utilize GPU when available

82 ty, high amounts of missing observations and batch effect typical of scRNA-seq datasets make this tas

83 challenged by batch-to-batch variation (i.e. batch effect) due to uncontrollable experimental noise (

84 l assays, systematic variability, known as a batch effect, can often confound the effects of true bio

85 ons that handle only simple artifacts due to batch effect.

86 We illustrated that batch-effect correction can dramatically improve sensiti

87 and several preprocessing, normalization and batch-effect correction methods at multiple centers.

88 data analyses, scBatch outperforms benchmark batch-effect correction methods.

89 e present scBatch, a numerical algorithm for batch-effect correction on bulk and single-cell RNA-seq

90 PhEMD is scalable, compatible with leading batch-effect correction techniques and generalizable to

91 fic variations in diffusion measures using a batch-effect correction tool (ComBat).

92 y in gene detection and cell classification, batch-effect correction was by far the most important fa

93 estricted by assumptions on the mechanism of batch-effect generation.

94 l position or reading order, is minimal; and batch effects - different individual microplate runs - c

95 speed, this server will be a useful tool for batch effects analysis.

96 DA outperforms existing methods for removing batch effects and distinguishing cell types in multiple

97 xperiments require more batches exacerbating batch effects and increasing the number of bias trends.

98 CytofRUV can correct for batch effects and integrate data from large numbers of p

99 points in a single pool, thereby minimizing batch effects and maximizing the reliability of time-cou

100 Batch effects are very common in high-throughput sequenc

101 Furthermore, intensity-related batch effects can introduce biases in the statistical mo

102 , with the caveat that we could not rule out batch effects due to the unanticipated impact of wAnga o

103 osed procedure successfully removes multiple batch effects from t-SNE embeddings, while retaining fun

104 om effects such as experimental variability, batch effects or differences in experimental material.

105 Existing methods do not correct batch effects satisfactorily, especially with single-cel

106 RNA capture, PCR amplification biases and/or batch effects specific to the patient or sample.

107 haracteristics of the subjects in a study or batch effects that need to be adjusted for in order to b

108 the proposed methods in detecting unobserved batch effects via simulations.

109 Attempting to remove these batch effects will result in some biologically meaningfu

110 s to be removed in downstream analyses (e.g. batch effects) and 'wanted' or biological sources of var

111 ions introduced by technical artifacts (e.g. batch effects) and uninteresting biological variables (e

112 rative self-learning, DESC gradually removes batch effects, as long as technical differences across b

113 mbine diverse datasets by removing technical batch effects, but most are computationally intensive.

114 onally allowed us to isolate and investigate batch effects, i.e. inter-experimental variations result

115 plicated experiments and metadata, including batch effects, normalization, temporal dynamics (tempora

116 We demonstrate the removal of time-based batch effects, overall statistical characteristics of th

117 a popular experimental design that can avoid batch effects, reduce costs and improve doublet detectio

118 while minimizing differences due to donor or batch effects.

119 ss spectra and is less sensitive to possible batch effects.

120 ng to information loss and susceptibility to batch effects.

121 mate t-SNE embeddings that are not driven by batch effects.

122 t different sites are challenging because of batch effects.

123 ing structure in the data can be obscured by batch effects.

124 esis to replace some aspects of conventional batch electrochemical processes.

125 We present a neural network-based batch equalization method that can transfer images from

126 These larger experiments require more batches exacerbating batch effects and increasing the nu

127 in a wide pH range from 3.50 to 10.50 using batch experiments combined with scanning electron micros

128 These multi-batch experiments consist of small independent mini-expe

129 calibrated and validated using data from two batch experiments in which the degradation of the pestic

130 Here, we describe results of batch experiments to determine kinetics and mechanisms o

131 Batch experiments were performed at 40 degrees C for 2 h

132 Batch experiments were performed at several DO concentra

133 e ASM-EC model was calibrated with data from batch experiments with heterotrophic denitrifying commun

134 We combined batch experiments with size-exclusion and reversed phase

135 At pH 3.5 in batch experiments, sulfidogenesis started within 4 days,

136 process was evaluated by performing repeated batch experiments.

137 Batch extraction with MIP coated on to magnetic particle

138 Meanwhile, batch-fabricated flexible electrochemical sensors based

139 se diagnostic platforms, they stand short of batch fabrication and they are dependent on complementar

140 Using these films, batch fabrication of high-performance field-effect trans

141 and transfer-free direct-etching method for batch fabrication of robust ultraclean graphene grids th

142 a user-friendly web interface for detecting batch factors.

143 Fed-batch fermentations using concentrated green seaweed hyd

144 and the corresponding computational tool for batch-fitting EPR spectra and cluster analysis of the ch

145 Using urea as a model, batch FO experiments concluded that low molecular weight

146 the immediate availability of cryopreserved batches for patient treatment, possible standardization

147 Datasets with a priori identified batches have been split accordingly, measured with weigh

148 In a batch hydride generation mode, Se(IV) was first converte

149 cells from multiple healthy controls across batches, iMUBAC learns batch-specific cell-type classifi

150 ophenotypes in patient samples from multiple batches in a unified manner.

151 , median detection rates of BORN in the test batch increased by 30% (P < .001) after training.

152 is, from flooding to drainage to reflooding, batch incubations and unplanted microcosm experiments we

153 Shewanella isolate, Shewanella sp. (NR), in batch incubations.

154 we show that the equalized images have less batch information and preserve the biological informatio

155 print on memory, does not explicitly require batch information for batch effect removal, and can util

156 ction methods to further correct for between-batch intensity differences.

157 r, accurate biological comparison across the batches is challenged by batch-to-batch variation (i.e.

158 However, batch laboratory experiments demonstrated that Pu(V) is

159 gnosis) covariates are accommodated in plate/batch/lot artifact correction.

160 logarithm transforms and then removes plate/batch/lot artifacts from median fluorescence intensities

161 on for nonspecific binding, even when plates/batches/lots are unbalanced with respect to experimental

162 Repeated-batch malolactic fermentations (MLF) demonstrated that S

163 y in quantification compared to the existing batch measurement methods.

164 ardized, conventional methods for performing batch measurements of regularly spaced areas of signal i

165 ns by both sitting-drop vapour diffusion and batch methods.

166 of magnitude greater than for solvent-based batch methods.

167 phenotypes are maintained from batch to fed-batch mode, and across scales (100-ml shake flasks, 250-

168 lysis of tributyrin as a model reaction in a batch mode, we show that bijels can be used as media to

169 Historically, most chambers have operated in batch mode.

170 the overall increase of production rates of batch-mode (i.e., stopped-flow) (129)Xe hyperpolarizers,

171 ) using a third-generation (GEN-3) automated batch-mode clinical-scale (129)Xe hyperpolarizer utilizi

172 rmation on protein products than offline and batch-mode conventional analytics.

173 5), who in turn contributed to 21 multidonor batches (n = 50).

174 e a compensation technique that exploits the batch normalization parameters to improve the accuracy r

175 ssment with anatomic subregion analysis in a batch of 40 eyes.

176 tification of the best target binders from a batch of aptamer candidates, independent of the ligands

177 to predict the shelf life of an experimental batch of gluten-free rusks with a lower content of antio

178 tificial Chemist is pre-trained to use a new batch of precursors and further accelerate the synthetic

179 he homogeneity between units packaged from a batch of RM can be evaluated by gas chromatography coupl

180 erent substrate concentrations with the same batch of trapped beads as well as varying the amount of

181 ral endoscopists from 4 countries assessed 4 batches of 20 videos.

182 dases and the influence varies for different batches of ABTS from the same source.

183 and enable fair comparisons among different batches of APEX labeling and different APEX probes.

184 uggles experimentally with the purity of the batches of building blocks.

185 cell aspirator was employed to collect small batches of cardiomyocytes grouped according to their rel

186 age dataset that spans multiple experimental batches of data.

187 ia for analytical comparability of different batches of drug substance as well as samples with modula

188 However, rational comparisons of multiple batches of experiments performed on different occasions

189 ardly equipped laboratories to produce small batches of high quality and high titer AAV vectors for t

190 sed cell-type identification across multiple batches of high-dimensional cytometry datasets, even wit

191 st could be used at least in five sequential batches of LFS production, remaining fully stable after

192 t and subsequently utilized to fabricate new batches of LiCoO(2) (LCO) coin cell batteries.

193 BERMUDA effectively combines different batches of scRNA-seq data with vastly different cell pop

194 ing batch reactors for 28 d to produce three batches of sludge: (1) a control, (2) Ag-NP sludge, and

195 The mean number of batches of SQ-LNS (28 sachets per batch, 6 batches total

196 ties of their sequences, as well as generate batches of synthetic sequences.

197 nd one HIV- control; each lab tested blinded batches of three frozen and one fresh sample.

198 ifically focus on data generated in multiple batches on the same LC/MS machinery.

199 consumption and production rates; one is for batch operation and one is for continuous operation.

200 ll result in changes in system pressure (for batch operations) or off-gas flow rate (for continuous o

201 , RuAAC) methods and can be scaled in either batch or flow reactors.

202 not lead to oxidative damage of the enriched batches or affect the moisture and lipid content during

203 Compared to batch, organic electrosynthesis via microflow reactors a

204 x)) near 30% of metal recycling and concrete batch plant facilities within our sampled census tracts

205 tration" and "low-concentration" bench-scale batch plasma reactors were used to effectively degrade p

206 iments) and mitigates the issues of batch-to-batch precursor variability, resulting in QDs averaging

207 In a batch process, this system enables ~ 50% conversion in 4

208 ding to higher product aggregates in the fed-batch process.

209 s, leading to product aggregation in the fed-batch process.

210 y lower BisAb aggregates compared to the fed-batch process.

211 NT-proBNP was measured locally at 1 site and batch processed at a central laboratory from other sites

212 , which is directly compatible with scalable batch processing and device integration.

213 that uses optimized parallel programming for batch processing and simply gauges the quality of sequen

214 other situations such as matching historical batch processing data where references values are not kn

215 Specifically, small-batch processing includes a melanging step, a chocolate

216 R package for pointillist-based analysis and batch processing of localization microscopy data.

217 dundant GO terms in data interpretation, and batch processing of multiple GO enrichment datasets.

218 Batch processing pools of individual samples or using en

219 Moreover, batch processing tools for the fast analysis of multiple

220 (TMD) films must meet key industry needs for batch processing, including the high-throughput, large-s

221 continuous flow electrolysis is superior to batch, producing a good yield (71%) and a higher enantio

222 th high precision, which can be scaled up to batch production for applications beyond digital electro

223 Chocolate made from small-batch production is known for distinct sensory propertie

224 Batch (PS: Pot Still) or continuous (CS: Coffey Still) d

225 aracterization is critical for both batch-to-batch quality control and scale-up production.

226 and with 39% less space and can answer small-batch queries at least five times faster.

227 with translating discovery scale vial-based batch reactions to continuous flow scale-up conditions.

228 A geochemical model was calibrated from batch reactor data and used to identify optimum AMD-HFFF

229 Here, using batch reactor experiments, we demonstrate an unexpected

230 T) rate constants for H-SSZ-13 are used in a batch reactor model.

231 Batch reactor studies demonstrated substantial adsorptio

232 rogenotrophic methanogenesis in a laboratory batch reactor, anaerobic ammonia oxidation in a wastewat

233 3 h reaction cycles at 85 degrees C under a batch reactor, preserving 83% of its initial activity.

234 easing pCO(2) from 0.3 to 8 bar in lab-scale batch reactors decreased the maximum substrate utilizati

235 le gas wells were characterized and mixed in batch reactors for 14 days.

236 e ecotoxicology of Ag-NPs, we ran sequencing batch reactors for 28 d to produce three batches of slud

237 is significantly faster than in traditional batch reactors or in segmented flow systems, which is ex

238 Two sets of replicate 5-L sequencing batch reactors were operated at different, low and high,

239 y diverse agrochemical active ingredients in batch reactors with three concentrations of the same act

240 high burnup used nuclear fuel raffinate in a batch regime.

241 ma, the proposed method successfully removes batches related with mice identifiers and the date of th

242 100 attomoles, recovery 89.51%, and batch to batch reproducibility (RSD > 1) in glycopeptides enrichm

243 to analysis, we enhance the intra- and inter-batch reproducibility as demonstrated via RNA sequencing

244 itive and can be utilized by laboratories to batch-review negative cultures to improve laboratory wor

245 e designed a laboratory-scale roaster (100 g batch size) capable of precise time-temperature control

246 en has a trade-off with the maximum possible batch size, yet optimal selection of image resolution ha

247 FASs were investigated in five soils through batch sorption experiments.

248 althy controls across batches, iMUBAC learns batch-specific cell-type classification boundaries and i

249 The optimal conditions obtained from batch studies were directly employed to operate in SFBA

250 be the degradation kinetics of acrylamide in batch study.

251 of magnitude faster than those obtained in a batch suspension of heterogeneous catalysts.

252 ol offered several advantages over classical batch synthesis, including improvement of the overall yi

253 re largely limited to small-scale laboratory batch systems and unrealistic synthetic solutions, which

254 ermally activated persulfate (UV-APS, T-APS) batch systems, and the loss of rhodamine B (RhB) served

255 can accurately predict the outcome of an SNR batch test (that takes 4 h) when performed with the same

256 ial is the specific nitrification rate (SNR) batch test, which requires approximately 4 h to complete

257 Sera were collected from participants and batch tested by indirect IgG ELISA and FRNT.

258 Within-batch testing had 2.5-fold extra-Poisson variation (95%C

259 marker assays, but limited accessibility and batch testing limit the impact.

260 ring both long-term operation and short-term batch tests, which indicated that n-DAMO bacteria and n-

261 inimizing the joint probability of rejecting batches that have a satisfactory amount of defective sam

262 small amount of nutrient is supplied to each batch, the serial dilution dynamics mimic a chemostat-li

263 Compared to the method in batch, this flow process enables a broader substrate sco

264 led successfully from the milligram scale in batch to a multi-kilogram reaction in flow.

265 ion method that can transfer images from one batch to another while preserving the biological phenoty

266 ivity to 100 attomoles, recovery 89.51%, and batch to batch reproducibility (RSD > 1) in glycopeptide

267 These phenotypes are maintained from batch to fed-batch mode, and across scales (100-ml shake

268 ge numbers of patients and conditions across batches, to confidently compare cellular changes and cor

269 dge experiments) and mitigates the issues of batch-to-batch precursor variability, resulting in QDs a

270 vitro characterization is critical for both batch-to-batch quality control and scale-up production.

271 This allowed for comparison of batch-to-batch variability.

272 with a metal heating coil), and control over batch-to-batch variability.

273 mparison across the batches is challenged by batch-to-batch variation (i.e. batch effect) due to unco

274 of 8 libraries simultaneously while reducing batch-to-batch variation and operator hands-on time.

275 many disadvantages including serum sickness, batch-to-batch variation in quality and the use of anima

276 major platform to study gene expression but batch-to-batch variation makes protein production diffic

277 er, the addition of GCl dramatically reduces batch-to-batch variations benefiting mass production owi

278 MS/MS approach can accurately determine the batch-to-batch variations in glycosylation profiles at t

279 rsion during the doping procedure, and large batch-to-batch variations in the amount of incorporated

280 f batches of SQ-LNS (28 sachets per batch, 6 batches total) received was 2.3 +/- 0.8 (i.e., 64.4 +/-

281 detecting reaction intermediates because the batch-type electrochemical reactor can only handle a ver

282 ry amount of defective samples and accepting batches unnecessarily.

283 the integration of data from multiple CyTOF batches usually acquired on different days and possibly

284 This allowed for comparison of batch-to-batch variability.

285 tal heating coil), and control over batch-to-batch variability.

286 across the batches is challenged by batch-to-batch variation (i.e. batch effect) due to uncontrollabl

287 aries simultaneously while reducing batch-to-batch variation and operator hands-on time.

288 dvantages including serum sickness, batch-to-batch variation in quality and the use of animals for pr

289 atform to study gene expression but batch-to-batch variation makes protein production difficult to pr

290 ddition of GCl dramatically reduces batch-to-batch variations benefiting mass production owing to the

291 proach can accurately determine the batch-to-batch variations in glycosylation profiles at the isomer

292 ing the doping procedure, and large batch-to-batch variations in the amount of incorporated Mn.

293 Adjusted for maternal education and batch, we observe positive significant relationship betw

294 Across different batches, we often observe differences in data characteri

295 170 beans randomly selected from 17 batches were individually analysed by HSI and by referen

296 Five batches were produced: T1: 100 mg/kg of sodium nitrite;

297 Cheese batches which have lower transverse relaxation values fo

298 called CytofRUV for analysing multiple CyTOF batches, which includes an R-Shiny application with diag

299 litting data with maximal dispersion between batches, while maintaining minimal within batch dispersi

300 alizations, on-the-fly data filtering, and a batch-wise analysis workflow.