1 To fill this critical gap,
we developed a 2D implementation of the Regional Ocean Modeli
2 We developed a bulk superlattice consisting of the transition
3 Additionally,
we developed a command line Python tool, mirtop, to create an
4 chromosomes and simultaneously assemble a bipolar spindle,
we developed a computational model of fission-yeast mitosis.
5 Furthermore, with CLASSED
we developed a context-specific model of beta-adrenergic card
6 Here,
we developed a CRISPR-based system for simultaneous quantific
7 ion of these biopsies including additional features of ATI,
we developed a final multivariate model with a highly signifi
8 nsitivity and spatial resolution of cellular force imaging,
we developed a force-activatable emitter reporting single-mol
9 Herein
we developed a general host-guest strategy to fabricate vario
10 We developed a gradient-based unsupervised clustering method
11 We developed a hierarchical Bayesian model to estimate popula
12 Here,
we developed a high-throughput microscopy-based retrotranspos
13 Here,
we developed a machine-learning approach to identify small mo
14 We developed a mesoscale coarse-grained model to study the ch
15 In this study,
we developed a method, FamANC, that can improve the accuracy
16 We developed a miniaturized optoelectronic biosensor using a
17 We developed a minimal mathematical model demonstrating growt
18 We developed a network model to identify plausible mechanisms
19 We developed a new approach to address this challenge, combin
20 We developed a new method to detect such candidate genes in l
21 We developed a new tracer, an (18)F-labeled difluoro-analog o
22 We developed a novel protocol to measure transporter-mediated
23 We developed a nucleotide resolution transcriptome-wide, sing
24 Here,
we developed a one-stop microfluidic platform to assemble and
25 Here,
we developed a piecewise approach for all-atom steered molecu
26 To address this question,
we developed a polymeric-based constructed graft system (CGS)
27 We developed a purification strategy enabling assaying of ind
28 Here
we developed a reversal learning task for head-fixed mice, mo
29 We developed a risk stratification system from known prognost
30 Here,
we developed a simple enzyme-linked immunosorbent assay (ELIS
31 Based on the spatio-temporal EEG features,
we developed a system for detecting pain perception and react
32 To address this gap, here
we developed a transgenic mouse overexpressing Sulf2 in hepat
33 We developed a variant of a GO/NOGO task that reveals importa
34 Here,
we developed an anti-AQP3 monoclonal antibody (mAb) that inhi
35 We developed an automated adaptive atlas algorithm to segment
36 Previously,
we developed an efficient method for the simultaneous quantif
37 ing the NTF2-like structural superfamily as a model system,
we developed an enumerative algorithm for creating a virtuall
38 Here,
we developed an inducible system of three-dimensional (3D) co
39 Here,
we developed and evaluated the rolling circle amplification (
40 Accordingly,
we developed and validated a prognostic index (PIUKALL) that
41 We developed average weighted accuracy (AWA), representing a
42 To address these needs,
we developed BrainIAK (brainiak.org), an open-source Python s
43 For testing M3C,
we developed clusterlab, a new method for simulating multivar
44 Using reported measurements,
we developed grass functional trait values (physiological, st
45 We developed LeafCutterMD, a new statistical framework that s
46 ional programs controlled by diverse NUP98-fusion proteins,
we developed mouse models for regulatable expression of NUP98
47 In this work,
we developed NMR chemical shift calculation protocols using a
48 With these challenges in mind,
we developed RIPTiDe (Reaction Inclusion by Parsimony and Tra
49 We developed the Continuous-State Hidden Markov Models TF (CS
50 We developed transgenic B. distachyon plants expressing Tnt1