ライフサイエンスコーパス: k

1 k-SLAM is a highly efficient algorithm for the character

2 k-SLAM's speed allows a full taxonomic classification an

3 35 [77.1%] vs 21 of 123 [17.1%], P < .001) (k = 0.76).

4 ent 1.3 k assay, as well as the previous 1.1 k version.

5 ed, this difference further increased 12-10 k years ago, around or just before the onset of food pro

6 ndeno[7,1,2-fgh:7',1',2'-mno]phenanthro[9,10-k]tetraphene (DPT, 1c), are synthesized on the basis of

7 h-sampling results for 35 RNAs, including 12 k-turn and 23 non k-turn internal loops, and compare the

8 for the carbon kinetic isotope (CKIE), k(12)/k(13).

9 atient (2.2 +/- 3.9 k&OV0556; vs 6.6 +/- 8.2 k&OV0556;, P = 0.001).

10 pagation speed and rate constant of phase 2 (k+Pi(2)) had a similar [Pi]-dependence, indicating that

11 er than the mitoNEET model (data for 5H(2-): k = 135 +/- 27 M(-1) s(-1), DeltaH(double dagger) = 17.6

12 ulation sizes (N e) than foragers already 20 k years ago, well before the Neolithic revolution.

13 For 2a, k[1,5]H-shift:k6pi-electrocyclization increases from 1:1

14 serum and plasma runs using the current 1.3 k assay, as well as the previous 1.1 k version.

15 this cubic material is characterized by a 3-k non-collinear antiferromagnetic structure and multidom

16 reaches a maximum value of approximately 4.7 k B per oxygen vacancy for Ce(4+)/Ce(3+) reduction.

17 < 0.0001) and cost per patient (2.2 +/- 3.9 k&OV0556; vs 6.6 +/- 8.2 k&OV0556;, P = 0.001).

18 A k-fold validation test revealed no statistical differenc

19 A k-mer based method provides greater taxonomic accuracy t

20 very possible L-long sequence must contain a k-mer from the set.

21 or analysis informed the variables used in a k-means cluster analysis.

22 and an operational equation that included a k*4On 6 mornings, we completed 12 (18)F-FDG quantitative

23 losin-containing protein (VCP/p97) ATPase (a.k.a. Cdc48) is a key member of the ER-associated protein

24 GIV (a.k.a Girdin) was the first non-receptor protein for which

25 identified new somatic mutation in MUC16 (A.k.a. CA-125), MUC12, MUC4, MUC6, MUC2, SIRPA, HLA-DRB1,

26 aused by the final consumption of nations (a.k.a. consumption-based accounting method), but overlooke

27 evaluate direct GHG emissions of nations (a.k.a. production-based accounting method) and GHG emissio

28 inputs of individual nations and sectors (a.k.a. income-based accounting method).

29 age discrete prolate spheroidal sequences (a.k.a. Slepian sequences) to synthesize provably optimal n

30 ng the full-length expressed transcripts ( a.k.a. the transcript assembly problem) from the short seq

31 ex with the extended PDZ3 domain of USH1C (a.k.a., Harmonin), revealing a previously uncharacterized

32 Zebrin II (ZII; a.k.a. aldolase C) is expressed heterogeneously in Purkinj

33 predominates over hydrogen atom abstraction (k-1 > k2) for 6,7-diethynylquinoxaline while 5,6-diethyn

34 mide cyclized peptide with one d-amino acid (k) displayed higher uptake by breast cancer cells, with

35 by the other observer, with good agreement (k=0.774, percent agreement of 89.29%).

36 There was moderate agreement (k=0.537) for T stage between the clinical and MRI stagin

37 bserver, with good inter-observer agreement (k=0.75, percent agreement of 89.29%).

38 ) by both observers, with perfect agreement (k=1, percent agreement of 100%).

39 proximately 5 x 10(8) M(-1) s(-1)), alkoxyl (k approximately 1 x 10(9) M(-1) s(-1)), peroxyl (k appro

40 , RSSH are excellent H-atom donors to alkyl (k approximately 5 x 10(8) M(-1) s(-1)), alkoxyl (k appro

41 e, transient crosslinks to the spindle along k-fibers bear the load of chromosome movement but that t

42 Also, k(0) is obtained using Saveant's methodology which canno

43 the individual kinetic parameters (k(0)1 and k(0)2) or the electrode size ratio (theta1:theta2).

44 F3 COOH)=(3.4+/-0.3)x10(-10) cm(3) s(-1) and k((CH3 )2 COO + CF3 COOH)=(6.1+/-0.2)x10(-10) cm(3) s(-1

45 The values of k+Pi(1) and k-Pi were similar to the rate constant of mechanically i

46 k(CH2OO + SO2) = (3.3 +/- 0.9) x 10(-11) and k(CH2OO + acetic acid) = (1.25 +/- 0.30) x 10(-10) cm(3)

47 [Formula: see text] is proposed, where a and k are the experimentally determined coefficients.

48 old increases, respectively, in activity and k cat/K m values toward 2-hydroxyacetophenone compared w

49 ata to improve both subsystem annotation and k-mer classification, and tags new genomes as having sig

50 it is shown that the determinations of D and k(0) in glyceline DES by voltammetric studies using the

51 We describe the energy and k-vector distribution of exciton-polaritons along the hy

52 with the magnitude of the determined kO3 and k(*)OH.

53 3-carene as the major product, with K m and k cat of 3.69 +/- 1.17 microM and 2.01 s(-1) respectivel

54 The K m and k cat of AnCDA for the first deacetylation of penta-N-ac

55 Functional enrichment, gene network, and k-means clustering analyses were used to identify molecu

56 uding principal component analysis (PCA) and k-means clustering was utilized to investigate the soil

57 A combination of Fermi-Dirac statistics and k.p theory with consideration of quantum dot anisotropy

58 linear peptide with two d-amino acids (x and k), and was stable toward proteolytic degradation.

59 nalysis of DNase footprints to determine any k-mer's potential for protein binding in a specific cell

60 different SNP pipelines, wgMLST approaches, k-mer algorithms, whole genome alignment and others; eac

61 nduced force kinetics (k+Pi(1) approximately k-Pi approximately kTR approximately kACT).

62 rises eleven related neuropeptides (ArPPLN2a-k), the structures of several of which were confirmed us

63 Recently developed state-of-the-art k-mer based alignment-free dissimilarity measures includ

64 ranscripts based on the gene fingerprint (as k-mers) profiles of the RNA-Seq paired-end reads.

65 Some chemometric methods, such as k-nearest neighbours (kNN), partial least squared-discri

66 d-subtracting measure [Formula: see text] at k = 6 gave the highest host prediction accuracy (33%, ge

67 VISIT compared to observation-based average k), likely contributing to underestimation of positive f

68 Because k-turns represent a classic example of sequence/structur

69 ute was employed to construct extended benzo[k]tetraphene-derived oligomers with up to 13 fused rings

70 zo[a]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene and benzo[a]pyrene in bovine tissues.

71 these GVMs, simulated relationships between k and winter length in boreal forests are not consistent

72 In all cases studied, CLPP accompanied by k-Nearest Neighbors (kNN) algorithm was found to outperf

73 and social network embeddedness measured by k-core score are associated with functional connectivity

74 tical number of mutations leading to cancer, k, is 3 or 4 and not for smaller values (1 or 2), but do

75 dy revealed a cenH3 nucleosome binding CENPC-k motif at the C terminus of Arabidopsis thaliana KNL2,

76 ucleosomes, similar to CENP-C, via the CENPC-k motif and binds adjoining DNA.

77 f KNL2 is abolished by deletion of the CENPC-k motif and by mutating single conserved amino acids, bu

78 c repeat pAL1 Complete deletion of the CENPC-k motif did not influence its ability to interact with D

79 a colon phantom by using the characteristic k edge of gadolinium.

80 ify the immediate relaxation of chromosomes, k-fibers, and microtubule speckles.

81 1.022 for the carbon kinetic isotope (CKIE), k(12)/k(13).

82 ape model performs better than the classical k-spectrum kernel, particularly for small k values; (ii)

83 We introduce a novel approach that clusters k-mers as the first step.

84 The rate coefficients k(CH2 OO + CF3 COOH)=(3.4+/-0.3)x10(-10) cm(3) s(-1) and

85 ant effects were found on overall cognition (k=11, g=0.26, 95% CI=0.01-0.52) and visuospatial skills,

86 est, x(2) test, Fisher exact test, and Cohen k.

87 y, quasi-unretained and retained components (k = 7) went up to N = 60000 and 12500 under isothermal c

88 Sasquatch performs a comprehensive k-mer-based analysis of DNase footprints to determine an

89 The cross-plane thermal conductivity (k) of beta-W films is determined at 1.69 2.41 Wm(-1)K(-1

90 sport, which constrain thermal conductivity (k) to decrease monotonically with decreasing elastic mod

91 walls) with methylamine with a rate constant k = (9 +/- 2) x 10(-17) cm(3) molecule(-1) s(-1) at 294

92 The rate constant k for the conversion of 3a into 3b was determined to be

93 e 1 after rapid [Pi]-increase (rate constant k+Pi(1)) and during the single-exponential force rise (r

94 single-exponential force rise (rate constant k-Pi) after rapid [Pi]-decrease.

95 Calculation of the rate constant (k) and activation energy (Ea) for this hydrolysis reacti

96 a decrease of the degradation rate constant (k) and in several alterations in the cy3glc-beta-CD DSC

97 Br2(*-), with a second-order rate constant, k = (5.4 +/- 1) x 10(8) M(-1) s(-1).

98 re reactive with second order rate constants k'2 that are 2-3 orders of magnitude higher.

99 Decay constants (k) were modeled using two strategies, linear and nonline

100 s standard electron-transfer rate constants (k degrees ) in a clean environment without exposure of t

101 -order kinetics and reaction rate constants (k values), which were obtained by non-linear regression,

102 s(-1)), photon fluence-based rate constants (k') (210-2730 m(2) einstein(-1)), and quantum yields (Ph

103 eterogeneous charge transfer rate constants (k(0) values) apply at the individual GC and BDD electrod

104 kinetics and the degradation rate constants (k) were calculated.

105 the PCET rate constant was found: kPCET(d) = k(0)PCETexp[-beta(d - d0)], with beta approximately 10 A

106 least square discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), support vector machine (SVM)

107 ods analyse the complete set of read-derived k-mer sequence at once, resulting in the need for comput

108 demonstrated that Cyclin A/Cdk1 destabilizes k-MT attachments to promote faithful chromosome segregat

109 A/Cdk1 activity and that MYPT1 destabilizes k-MT attachments by negatively regulating Plk1 at kineto

110 This strategy was used to determine k for all 3,905 complete viral genomes in RefSeq.

111 ditions and undergo very rapid dimerization (k = 5 x 10(9) M(-1) s(-1)) in lieu of reacting with O2 o

112 r-observer agreement in progressive disease (k=0.94, percent agreement=97.1%), stable disease (k=0.90

113 4, percent agreement=97.1%), stable disease (k=0.90, percent agreement=95%), partial response (k=0.96

114 ormation, i.e. the number of times that each k -mer occurs, which is key in transcriptome assemblers.

115 The 4D spectral function rho(EB; k) in the entire bulk Brillouin zone and 6 eV binding-en

116 The catalytic efficiencies (k cat/K m) indicated that cellotetraose and cellopentaos

117 red by PacBio or Oxford Nanopore), efficient k -mer processing is still crucial for accurate assembly

118 f WBCT in staging of lymphoma was excellent (k=0.90, percent agreement=94.9%).

119 completer course of treatment was excellent (k=0.91, percent agreement=95.8%).

120 111)In-PSMA-I&T ((111)In-DOTAGA-(3-iodo-y)-f-k-Sub(KuE)) (PSMA is prostate-specific membrane antigen

121 5.8%, respectively with the coverage factor, k, is 2 and at 95% confidence level.

122 calculated as a ratio of conversion factors (k(obs) values) for corresponding power equations.

123 inical and MRI staging assessments was fair (k=0.328).

124 tron from (Ph3P)6Cu6H6 to Cp*2Fe(+) is fast (k > 10(6) L.mol(-1).s(-1)).

125 with peroxynitrite was considerably faster (k = (6.9 +/- 0.2) x 10(4) m(-1) s(-1)), and both Cys res

126 ons attempt to map sequence-level features ( k -mers) to binding event but usually ignore the locatio

127 dle must robustly anchor kinetochore fibers (k-fibers) to bear this load.

128 ta-recording technique (combining full-field k-microscopy with time-of-flight parallel energy recordi

129 hat the relative magnitudes of fluorescence (k(0)F), S1 --> S0 nonradiative decay (knr), S1 --> T1 IS

130 aps, thus increasing the diffusion limit for k degrees measurement to >14 cm/s for a gap of 44 nm.

131 tastasis between the two observers was good (k=0.793, percent agreement of 89.29%).

132 e 3-carene was over ten fold higher for GPP (k cat /K m = 0.56 microM(-1)s(-1)) than NPP (k cat /K m

133 rge retro-Bergman ring opening barrier (k2 > k-1).

134 For integers k and L > k, we say that a set of k-mers is a universal hitting se

135 the rate constant for ATP hydrolysis (k+H + k-H) was reduced by approximately 200-fold from 12 s(-1)

136 show that the enzyme reacts fast with H2O2 (k = 2.9 x 10(7) M(-1)s(-1)) and catalytically decomposes

137 l into two classes: one based on handcrafted k -mer features and the other based on convolutional neu

138 ariety of electrostatic interactions in high-k films.

139 sponse, and supporting a broad range of high-k modes.

140 pacitance polymeric dielectric based on high-k polymer and ion gel blends is reported.

141 om insulators such as industry standard high-k dielectric HfO2 and "green polymer" parylene-C, to con

142 id-state supercapacitor effect with the high-k dielectric hafnium oxide is demonstrated that allows m

143 diffusion of In and Ga atoms toward the high-k film became more significant with increasing H2 pressu

144 incorporation of In/Ga atoms within the high-k stack.

145 In this work, we combine an ultra-thin high-k dielectric layer (Al2O3) with a nanostructured organic

146 ed by replacing the SVM model with an ad hoc k-means classifier.

147 wever, the rate constant for ATP hydrolysis (k+H + k-H) was reduced by approximately 200-fold from 12

148 ellent inter-observer agreement for stage I (k=0.93, percent agreement=96.4%), stage II (k=0.90, perc

149 ause the patterns produced by the i(i) and i(k) alleles of the I locus, which restrict pigment to the

150 siRNAs but different genotypes (homozygous i(k) K1 versus homozygous i(i) k1).

151 ss II/IA(k) rather than IE(k) By creating IA(k)/and IE(k)/SERCA2a 971-990 dextramers, the T cell resp

152 epitope preferentially binds MHC class II/IA(k) rather than IE(k) By creating IA(k)/and IE(k)/SERCA2a

153 ) rather than IE(k) By creating IA(k)/and IE(k)/SERCA2a 971-990 dextramers, the T cell responses were

154 ally binds MHC class II/IA(k) rather than IE(k) By creating IA(k)/and IE(k)/SERCA2a 971-990 dextramer

155 (k=0.93, percent agreement=96.4%), stage II (k=0.90, percent agreement=94.8%), stage III (k=0.89, per

156 k=0.90, percent agreement=94.8%), stage III (k=0.89, percent agreement=94.6%) and stage IV (k=0.88, p

157 rable biases in the simulated biomass and in k (severe underestimations by all models except JeDi and

158 direct current voltammetry, a difference in k(0) of >3 orders of magnitude is required to make this

159 rometer can reduce the nonlinearity error in k-space from 14.86% to 0.47% (by approximately 30 times)

160 ust response, there is no measurable loss in k-fibres, or tension across the bivalent.

161 roduce observation-based spatial patterns in k is identified.

162 leverage existing approaches already used in k-mer analysis to identify enriched motifs.

163 For integers k and L > k, we say that a set of k-mers is a universal

164 than the di-mismatch kernel for intermediate k values.

165 We first split DNA sequences into k -mers and pre-train k -mer embedding vectors based on

166 0.89, percent agreement=94.6%) and stage IV (k=0.88, percent agreement=94%).

167 hanically and Ca(2+)-induced force kinetics (k+Pi(1) approximately k-Pi approximately kTR approximate

168 Small interfering RNA-mediated knockdown (k/d) of eIF4E-sensitized CRPC cells to RAD001+bicalutami

169 rms better than the k-mer kernel, for larger k; and (iii) the di-mismatch + shape kernel performs bet

170 ieves the best performance with tuple length k = 6 under the independent identically distributed (i.i

171 To determine the optimal feature length, k (an essential step in constructing a meaningful dendro

172 redox mediator exhibited a diffusion-limited k degrees for the previously KCl-protected eC surface, w

173 57 measured second-order rate constants (log k) and the previously reported nucleophile-specific para

174 rs N and sN for 3-5 into the correlation log k = sN(E + N) allowed us to calculate 15 new empirical e

175 inetically by applying the LFER equation log k = sf(Ef + Nf).

176 he degree exponent gamma and average degree <k>.

177 RSNs emerged at coupling strengths of 5 </= k </= 12.

178 ure has undesirable behaviors (e.g. too many k -mers are selected when processing certain sequences).

179 ty over distributions of their short k-mers (k = 3-4) along the sequences.

180 ecise regulation of kinetochore microtubule (k-MT) attachment stability.

181 tial (k=0.790) and for N stage was moderate (k=0.458) between MRI and histopathology staging assessme

182 t of length n that are at a distance at most k from any factor of length l of a pattern of length m.

183 trained with general features such as multi k-mer frequencies and relaxed open reading frames.

184 ent in the detection of HRGPs using multiple-k-mer transcriptome assembly methodology was observed.

185 MAS3-y-nal-k(Sub-KuE) and (99m)Tc-mas3-y-nal-k(Sub-KuE) ((99m)Tc-PSMA-I&S for imaging and surgery) we

186 ternalization kinetics of (99m)Tc-MAS3-y-nal-k(Sub-KuE) and (99m)Tc-mas3-y-nal-k(Sub-KuE) ((99m)Tc-PS

187 lowing the preparation of (99m)Tc-MAS3-y-nal-k(Sub-KuE) and (99m)Tc-PSMA-I&S in consistently high rad

188 f Class Analogy (SIMCA), k-Nearest Neighbor (k-NN), Principal Component Analysis followed by Linear D

189 detectable load sharing between neighboring k-fibers.

190 s Analogies (SIMCA) and K-Nearest Neighbors (k-NN) were applied to the four chromatographic-fingerpri

191 t Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Decision Tree, were employed to study the sop

192 nant analysis (PLS-DA), k-nearest neighbors (k-NN), support vector machine (SVM) and Random Forest (R

193 ation algorithms are compared, and the k-NN (k = 4) algorithm was selected.

194 for 35 RNAs, including 12 k-turn and 23 non k-turn internal loops, and compare the results to solved

195 k cat /K m = 0.56 microM(-1)s(-1)) than NPP (k cat /K m = 0.044 microM(-1)s(-1)).

196 cond-order empirical rate law given by nu = -k[1][HBpin], where k = 4.76 x 10(-5) M(-1) s(-1) at 25 d

197 eir taxonomic assignments, or use nucleotide k-mer frequency as the proxy for sequence similarity mea

198 ent with previous experimental observations (k(0) > 10 cm/s).

199 Here, we annotate observed k-turn motifs within a non-redundant RNA dataset based o

200 This kernel extends an existing class of k-mer based sequence kernels, based on the recently desc

201 me assemblies through pairwise comparison of k-mers present in both input reads and the assemblies.

202 products with a first-order rate constant of k = 2 x 10(3) s(-1).

203 ng mitosis to ensure efficient correction of k-MT attachment errors necessary for high mitotic fideli

204 rovide an in-depth analysis of the effect of k -mer ordering on the performance of the minimizers tec

205 tools have used the normalized frequency of k-tuples directly, but this represents an absolute, not

206 The increase of k with pressure is attributed to the squeeze of weighted

207 ubstitution matrix and the maximum length of k-mers that it includes.

208 ing event but usually ignore the location of k -mers, which can cause data fragmentation and conseque

209 vectors based on the co-occurrence matrix of k -mers by using an unsupervised representation learning

210 and laterally within approximately 2 mum of k-fiber sides, without detectable load sharing between n

211 e, and the natural lexicographic ordering of k -mers used by minimizers was recognized as their origi

212 Some models show a response of k to drought in temperate forests as a result of impacts

213 mblies using eight programs with a series of k-mer sizes (from 25 to 71), including BinPacker, Bridge

214 r integers k and L > k, we say that a set of k-mers is a universal hitting set (UHS) if every possibl

215 increases in abundance of additional sets of k-mers associated with centromere, 45S rDNA, knob, and r

216 We present results for various values of k and L and by applying them to real genomes show that U

217 The values of k+Pi(1) and k-Pi were similar to the rate constant of me

218 er dependence of the AC current magnitude on k(0), it is straightforward with the FTACV method to res

219 he tool is taxonomy-free and depends only on k-tuples.

220 to reference-free methods based primarily on k-mer distributions or coverage information, the propose

221 cant effects of pH, buffers, and salinity on k(IAM) have been reported.

222 wledge of the individual kinetic parameters (k(0)1 and k(0)2) or the electrode size ratio (theta1:the

223 e, J, droplet radius, R, membrane permeance, k, water viscosity, mu, and the water/oil interfacial te

224 (Cys(53) and Cys(397)) by hydrogen peroxide (k = 17.3 +/- 1.3 m(-1) s(-1) at pH 7.4 and 25 degrees C)

225 proximately 1 x 10(9) M(-1) s(-1)), peroxyl (k approximately 2 x 10(6) M(-1) s(-1)), and thiyl (k > 1

226 The B73 and Mo17 polymorphic k-mers were used to examine allele-specific expression o

227 ggest computational folding rules to predict k-turn-like topologies from sequence.

228 f less than 29 nm, with a curvature radius r k < 14.4 nm; typical large needle-like arrays having 20

229 0(3) M(-1) s(-1)) or with hydroxyl radicals (k(*)OH) (0.9 x 10(9) - 6.5 x 10(9) M(-1) s(-1)), photon

230 ficient (D) and heterogeneous constant rate (k(0)) using the traditional electrochemical approach may

231 stimates of vegetation carbon turnover rate (k) derived from a combination of remote sensing based pr

232 We propose a power expression, rate = k(obs)[Probe](alpha), for scaling the progress of proteo

233 we attempted to model contigs using relative k-tuple composition, followed by measuring dissimilarity

234 d that RAA correlates well with the reported k values.

235 s for photons to tunnel to with the required k-vector matching and probability density overlap.

236 cent agreement=98.1%) and complete response (k=0.87, Percent agreement=93.3%).

237 0, percent agreement=95%), partial response (k=0.96, percent agreement=98.1%) and complete response (

238 (S j x S k ) term which dynamically breaks time-reversal while pr

239 minimizers scheme is a method for selecting k -mers from sequences.

240 genomic intron recombination signal sequence k-deleting element coding joint, genomic Vdelta1-Jdelta1

241 ircles, intron recombination signal sequence k-deleting element signal joints on Igkappa-deleting rec

242 sively compared 11 ONF metrics using several k-mer lengths for predicting host taxonomy from among ap

243 cant increase in relative stenosis severity (k coefficient, P<0.0001), in keeping with exercise-induc

244 similarity over distributions of their short k-mers (k = 3-4) along the sequences.

245 ependent Modelling of Class Analogy (SIMCA), k-Nearest Neighbor (k-NN), Principal Component Analysis

246 t pattern to other CRMs exhibiting a similar k-mer composition.

247 To do so, we laser-ablate single k-fibers at different spindle locations and in different

248 ty produced fewer chimeras across all single k-mer assemblies.

249 al k-spectrum kernel, particularly for small k values; (ii) the di-mismatch kernel performs better th

250 ctures and to RAGTOP results without special k-turn potentials.

251 le and calculates four different statistics: k -mer frequency, 16S abundance, prokaryotic- and viral-

252 mass weight G, the whole system's stiffness k and the gap x2 between the proof mass and reverse cons

253 ls with different classification strategies (k-mer, alignment, marker) can combine their respective a

254 xact matches between short sequence strings (k-mers) and an MLST allele library.

255 agreement for T stage was good/substantial (k=0.790) and for N stage was moderate (k=0.458) between

256 alf minimum substitution, mean substitution, k-nearest neighbors, local least squares regression, Bay

257 ethods, namely Support Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Decision Tree, were empl

258 We show that k -mer embedding can effectively enhance model performan

259 The k degrees for Ru(NH3)6(3+/2+) increased from 1.7 cm/s fo

260 This approach adds the k Nearest Neighbor (kNN) graph of node attributes to all

261 irreducible representation appears, and the k component of the ICM wave vector disappears.

262 ssification algorithms are compared, and the k-NN (k = 4) algorithm was selected.

263 demonstrate that the fall-off curve from the k-space spectrometer exhibits much less decay (maximum a

264 In particular, we observe that (i) the k-spectrum + shape model performs better than the classi

265 Below15 K the k component of the ICM structure reappears, along with s

266 t to test and compare the performance of the k-space spectrometer with that of a conventional one.

267 expensive than measures based solely on the k-mer frequencies.

268 di-mismatch kernel performs better than the k-mer kernel, for larger k; and (iii) the di-mismatch +

269 e updated scoring potentials compared to the k-turn-free potentials.

270 novo genome assemblies, primarily via their k-mer frequencies and GC composition.

271 Design results demonstrate that this k-space spectrometer can reduce the nonlinearity error i

272 oximately 2 x 10(6) M(-1) s(-1)), and thiyl (k > 1 x 10(10) M(-1) s(-1)) radicals, besting thiols by

273 Thirty-three (k = 33) samples including 912 patients with MDD and 894

274 lit DNA sequences into k -mers and pre-train k -mer embedding vectors based on the co-occurrence matr

275 distinct secondary structures of kink-turns (k-turn) suggest computational folding rules to predict k

276 pproach to this task is to model the typical k-mer composition of a set of CRMs known to drive a comm

277 Unsupervised k-means cluster analysis of the 57 largest principal com

278 component analysis, followed by unsupervised k-means cluster analysis of the principal components.

279 We used k-means clustering to identify subtypes of women sharing

280 comprehensive framework to integrate useful k -mer co-occurrence information with recent advances in

281 , we used an alignment-free method that uses k-mers as genomic features for a large-scale comparison

282 he two maize inbred lines B73 and Mo17 using k-mer analysis to quantify the differences between the t

283 cing more offspring and exhibiting greater V k* in the second sex.

284 However, protogynous species show greater V k*, especially pronounced in haremic species, resulting

285 compared variance in reproductive success (V k*) and effective population sizes (N e) in several spec

286 erent estimates of the gas transfer velocity k to produce a resulting map of CO2 evasion (FCO2 ).

287 Interrater reliability was (k = 0.79).

288 ampling of the interferograms in wavenumber (k) space degrades the depth-dependent signal sensitivity

289 Here we report a linear-in-wavenumber (k-space) spectrometer for an ultra-broad bandwidth (760

290 l rate law given by nu = -k[1][HBpin], where k = 4.76 x 10(-5) M(-1) s(-1) at 25 degrees C.

291 While k-mer based methods are predominantly used in real appli

292 e previously KCl-protected eC surface, while k degrees was 1.45 cm/s for unprotected eC.

293 and infrared spectroscopy is consistent with k.p calculations of the size-dependent intraband transit

294 l Long Short-Term Memory (LSTM) network with k -mer embedding.

295 than that of cyanidin 3-O-sambubioside with k values of 9.2.10(-7)s(-1) and 8.4.10(-7)s(-1) at 37 de

296 irst 3-4 mum from kinetochores, scaling with k-fiber length, and laterally within approximately 2 mum

297 and sparse discriminant analysis (SDA) with k-nearest neighbors for imputation for varying mechanism

298 iving force and is considerably slower, with k = 9.29(4) x 10(3) L.mol(-1).s(-1).

299 knowledge-based potentials with and without k-turn motifs.

300 Kinetic measurements yielded k(CH2OO + SO2) = (3.3 +/- 0.9) x 10(-11) and k(CH2OO + a