ライフサイエンスコーパス: we developed a

1 We developed a bulk superlattice consisting of the transition

2 We developed a gradient-based unsupervised clustering method

3 We developed a hierarchical Bayesian model to estimate popula

4 We developed a high-resolution cryo-EM refinement method that

5 We developed a mesoscale coarse-grained model to study the ch

6 We developed a miniaturized optoelectronic biosensor using a

7 We developed a minimal mathematical model demonstrating growt

8 We developed a mobile deep brain recording and stimulation (M

9 We developed a natural language processing algorithm to ident

10 We developed a network model to identify plausible mechanisms

11 We developed a new approach to address this challenge, combin

12 We developed a new method to detect such candidate genes in l

13 We developed a new tracer, an (18)F-labeled difluoro-analog o

14 We developed a novel protocol to measure transporter-mediated

15 We developed a novel, server-based tool (ICBM-OCEAN, Institut

16 We developed a nucleotide resolution transcriptome-wide, sing

17 We developed a purification strategy enabling assaying of ind

18 We developed a risk stratification system from known prognost

19 We developed a variant of a GO/NOGO task that reveals importa

20 We developed a whisker tracker algorithm that automatically r

21 Additionally, we developed a command line Python tool, mirtop, to create an

22 ion of these biopsies including additional features of ATI, we developed a final multivariate model with a highly signifi

23 To address this formidable challenge, we developed a supramolecular-synthon-driven approach to fabr

24 Furthermore, with CLASSED we developed a context-specific model of beta-adrenergic card

25 To quickly evaluate the total bioaerosol concentration, we developed a localized surface plasmon resonance biosensor

26 Based on the spatio-temporal EEG features, we developed a system for detecting pain perception and react

27 To fill this critical gap, we developed a 2D implementation of the Regional Ocean Modeli

28 Here we developed a reversal learning task for head-fixed mice, mo

29 To address this gap, here we developed a transgenic mouse overexpressing Sulf2 in hepat

30 Here, we developed a CRISPR-based system for simultaneous quantific

31 Here, we developed a high-throughput microscopy-based retrotranspos

32 Here, we developed a machine-learning approach to identify small mo

33 Here, we developed a new strategy to incorporate T cells into human

34 Here, we developed a novel in vitro assay to characterize the lengt

35 Here, we developed a one-stop microfluidic platform to assemble and

36 Here, we developed a piecewise approach for all-atom steered molecu

37 Here, we developed a rat model of incubation of opioid craving afte

38 Here, we developed a simple enzyme-linked immunosorbent assay (ELIS

39 Herein we developed a general host-guest strategy to fabricate vario

40 To test this hypothesis, we developed a statistical-thermodynamics-based informatics f

41 nsitivity and spatial resolution of cellular force imaging, we developed a force-activatable emitter reporting single-mol

42 To overcome this issue, we developed a mass spectrometry-based method that quantitati

43 In this paper, we developed a facile electrodeposition process for creating

44 ial mechanisms underlying these distinct temporal profiles, we developed a reduced spiking model of sensory cortical circ

45 To address this question, we developed a polymeric-based constructed graft system (CGS)

46 Using these results, we developed a decision model to estimate probability of tran

47 chromosomes and simultaneously assemble a bipolar spindle, we developed a computational model of fission-yeast mitosis.

48 In this study, we developed a method, FamANC, that can improve the accuracy

49 To control expression of transgenes, we developed a miRNA regulation system that is activated only

50 nes were directly involved in Ubr1-mediated ubiquitination, we developed a bead-based assay with covalently immobilized b