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1 high confidence, and the predicted promoters are guaranteed to be associated with genes.

2 nt condition-under which a local Hamiltonian is guaranteed to be frustration-free by lifting Shearer'

3 ny gene at any number of steps in the future is guaranteed to be governed by a function from the same

4 nuing increase in computing power, this tool is guaranteed to be integrated in routine clinical pract

5 s of the underlying deterministic system and is guaranteed to be observed for small noise strengths.

6 yields a blocking where the maximum distance is guaranteed to be, at most, four times the optimal val

7 CRNs that are guaranteed to converge on a correct answer, on the o

8 d, for an important class of data manifolds, is guaranteed to converge asymptotically to the true str

9 f some "input" species X1, ..., Xk , the CRN is guaranteed to converge to having f(x1, ..., xk ) mole

10 Moreover the gradient lasso algorithm is guaranteed to converge to the optimum under mild regu

11 e dynamic programming algorithms implemented are guaranteed to find the block partition with minimum

12 The fastest version is guaranteed to find only the clusters that are not sub

13 t for friendly graphs, the convex relaxation is guaranteed to find the exact isomorphism or certify i

14 ight disagreement under which the relaxation is guaranteed to find the globally optimal approximate i

15 Remarkably, an advantageous allele can even be guaranteed to fix in the Eldon-Wakeley model, despite

16 sult in instability, while bottom-up control is guaranteed to give a stable and improved dynamic resp

17 We design sequences of nucleic acids that are "guaranteed" to have long folding pathways relative

18 xtraction and not virus inactivation, cannot be guaranteed to inactivate EBOV in diagnostic samples.

19 hen used in combination with these formulae, are guaranteed to infer the correct tree when given enou

20 terminate branch-and-bound search paths that are guaranteed to lead to suboptimal solutions.

21 ations, variational methods are accurate and are guaranteed to lower bound the likelihood.

22 ures full utilization of prior knowledge and is guaranteed to outperform classical methods.

23 umerates all motifs in the search space, and is guaranteed to produce the motifs with greatest z-scor

24 We prove that DACTAL is guaranteed to produce the true tree under certain con

25 numerates all motifs in the search space and is guaranteed to produce those motifs with greatest z-sc

26 here high-dimensional regression adjustments are guaranteed to provide valid inference about the popu

27 al class of nonlinear pairwise dynamics that are guaranteed to recover the observed behaviour.

28 The program is guaranteed to report all sets of motifs with the lowe

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