Noble WS - Search Results

1

ChromaFold predicts the 3D contact map from single-cell chromatin accessibility.

Gao VR, Yang R, Das A, Luo R, Luo H, McNally DR, Karagiannidis I, Rivas MA, Wang ZM, Barisic D, Karbalayghareh A, Wong W, Zhan YA, Chin CR, Noble WS, Bilmes JA, Apostolou E, Kharas MG, Béguelin W, Viny AD, Huangfu D, Rudensky AY, Melnick AM, Leslie CS. Gao VR, et al. Among authors: noble ws. Nat Commun. 2024 Nov 1;15(1):9432. doi: 10.1038/s41467-024-53628-0. Nat Commun. 2024. PMID: 39487131 Free PMC article.

2

The spectrum kernel: a string kernel for SVM protein classification.

Leslie C, Eskin E, Noble WS. Leslie C, et al. Among authors: noble ws. Pac Symp Biocomput. 2002:564-75. Pac Symp Biocomput. 2002. PMID: 11928508 Free article.

3

Mismatch string kernels for discriminative protein classification.

Leslie CS, Eskin E, Cohen A, Weston J, Noble WS. Leslie CS, et al. Among authors: noble ws. Bioinformatics. 2004 Mar 1;20(4):467-76. doi: 10.1093/bioinformatics/btg431. Epub 2004 Jan 22. Bioinformatics. 2004. PMID: 14990442

4

Motif-based protein ranking by network propagation.

Kuang R, Weston J, Noble WS, Leslie C. Kuang R, et al. Among authors: noble ws. Bioinformatics. 2005 Oct 1;21(19):3711-8. doi: 10.1093/bioinformatics/bti608. Epub 2005 Aug 2. Bioinformatics. 2005. PMID: 16076885

5

Identifying remote protein homologs by network propagation.

Noble WS, Kuang R, Leslie C, Weston J. Noble WS, et al. FEBS J. 2005 Oct;272(20):5119-28. doi: 10.1111/j.1742-4658.2005.04947.x. FEBS J. 2005. PMID: 16218946 Free article. Review.

6

Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification.

Klammer AA, Reynolds SM, Bilmes JA, MacCoss MJ, Noble WS. Klammer AA, et al. Among authors: noble ws. Bioinformatics. 2008 Jul 1;24(13):i348-56. doi: 10.1093/bioinformatics/btn189. Bioinformatics. 2008. PMID: 18586734 Free PMC article.

7

Transmembrane topology and signal peptide prediction using dynamic bayesian networks.

Reynolds SM, Käll L, Riffle ME, Bilmes JA, Noble WS. Reynolds SM, et al. Among authors: noble ws. PLoS Comput Biol. 2008 Nov;4(11):e1000213. doi: 10.1371/journal.pcbi.1000213. Epub 2008 Nov 7. PLoS Comput Biol. 2008. PMID: 18989393 Free PMC article.

8

A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data.

Chen X, Hoffman MM, Bilmes JA, Hesselberth JR, Noble WS. Chen X, et al. Among authors: noble ws. Bioinformatics. 2010 Jun 15;26(12):i334-42. doi: 10.1093/bioinformatics/btq175. Bioinformatics. 2010. PMID: 20529925 Free PMC article.

9

Learning a weighted sequence model of the nucleosome core and linker yields more accurate predictions in Saccharomyces cerevisiae and Homo sapiens.

Reynolds SM, Bilmes JA, Noble WS. Reynolds SM, et al. Among authors: noble ws. PLoS Comput Biol. 2010 Jul 8;6(7):e1000834. doi: 10.1371/journal.pcbi.1000834. PLoS Comput Biol. 2010. PMID: 20628623 Free PMC article.

10

High resolution models of transcription factor-DNA affinities improve in vitro and in vivo binding predictions.

Agius P, Arvey A, Chang W, Noble WS, Leslie C. Agius P, et al. Among authors: noble ws. PLoS Comput Biol. 2010 Sep 9;6(9):e1000916. doi: 10.1371/journal.pcbi.1000916. PLoS Comput Biol. 2010. PMID: 20838582 Free PMC article.

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