Lederman RR - Search Results

1

Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials.

Herreros D, Lederman RR, Krieger JM, Jiménez-Moreno A, Martínez M, Myška D, Strelak D, Filipovic J, Sorzano COS, Carazo JM. Herreros D, et al. Among authors: lederman rr. Nat Commun. 2023 Jan 11;14(1):154. doi: 10.1038/s41467-023-35791-y. Nat Commun. 2023. PMID: 36631472 Free PMC article.

2

Approximating deformation fields for the analysis of continuous heterogeneity of biological macromolecules by 3D Zernike polynomials.

Herreros D, Lederman RR, Krieger J, Jiménez-Moreno A, Martínez M, Myška D, Strelak D, Filipovic J, Bahar I, Carazo JM, Sanchez COS. Herreros D, et al. Among authors: lederman rr. IUCrJ. 2021 Oct 14;8(Pt 6):992-1005. doi: 10.1107/S2052252521008903. eCollection 2021 Nov 1. IUCrJ. 2021. PMID: 34804551 Free PMC article.

3

Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity.

Toader B, Sigworth FJ, Lederman RR. Toader B, et al. Among authors: lederman rr. J Mol Biol. 2023 May 1;435(9):168020. doi: 10.1016/j.jmb.2023.168020. Epub 2023 Feb 28. J Mol Biol. 2023. PMID: 36863660 Free PMC article. Review.

4

Integrating Molecular Models Into CryoEM Heterogeneity Analysis Using Scalable High-resolution Deep Gaussian Mixture Models.

Chen M, Toader B, Lederman R. Chen M, et al. J Mol Biol. 2023 May 1;435(9):168014. doi: 10.1016/j.jmb.2023.168014. Epub 2023 Feb 16. J Mol Biol. 2023. PMID: 36806476 Free PMC article.

5

Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo.

Brofos JA, Lederman RR. Brofos JA, et al. Among authors: lederman rr. Proc Mach Learn Res. 2021 Jul;139:1072-1081. Proc Mach Learn Res. 2021. PMID: 35983520 Free PMC article.

6

EXTREME VALUES OF THE FIEDLER VECTOR ON TREES.

Lederman RR, Steinerberger S. Lederman RR, et al. Linear Algebra Appl. 2024 Dec 15;703:528-555. doi: 10.1016/j.laa.2024.09.014. Epub 2024 Sep 27. Linear Algebra Appl. 2024. PMID: 39651330

7

On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena.

Lederman RR, Toader B. Lederman RR, et al. Int Conf Sampl Theory Appl SampTA. 2023 Jul;2023:10.1109/sampta59647.2023.10301403. doi: 10.1109/sampta59647.2023.10301403. Epub 2023 Nov 2. Int Conf Sampl Theory Appl SampTA. 2023. PMID: 38435710 Free PMC article.

8

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.

Toader B, Brubaker MA, Lederman RR. Toader B, et al. Among authors: lederman rr. ArXiv [Preprint]. 2024 Oct 30:arXiv:2311.16100v2. ArXiv. 2024. PMID: 38076514 Free PMC article. Preprint.

9

Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM.

Edelberg DG, Lederman RR. Edelberg DG, et al. Among authors: lederman rr. ArXiv [Preprint]. 2023 May 10:arXiv:2303.07487v2. ArXiv. 2023. PMID: 36994155 Free PMC article. Preprint.

10

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals.

Brofos JA, Gabrié M, Brubaker MA, Lederman RR. Brofos JA, et al. Among authors: lederman rr. Proc Mach Learn Res. 2022 Mar;151:5949-5986. Proc Mach Learn Res. 2022. PMID: 36789101 Free PMC article.

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