William Stafford Noble

2008
47	EE	Nir Yosef, Roded Sharan, William Stafford Noble: Improved network-based identification of protein orthologs. ECCB 2008: 200-206
46	EE	Lukas Käll, John D. Storey, William Stafford Noble: Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry. ECCB 2008: 42-48
45	EE	Aaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, William Stafford Noble: Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. ISMB 2008: 348-356
44	EE	R. E. Thurman, William Stafford Noble, John A. Stamatoyannopoulos: Multi-Scale Correlations in Continuous Genomic Data. Pacific Symposium on Biocomputing 2008: 201-215
43	EE	Heng Lian, William A. Thompson, Robert Thurman, John A. Stamatoyannopoulos, William Stafford Noble, Charles E. Lawrence: Automated mapping of large-scale chromatin structure in ENCODE. Bioinformatics 24(17): 1911-1916 (2008)
2007
42	EE	Aaron A. Klammer, Xianhua Yi, Michael J. MacCoss, William Stafford Noble: Peptide Retention Time Prediction Yields Improved Tandem Mass Spectrum Identification for Diverse Chromatography Conditions. RECOMB 2007: 459-472
41	EE	Nathan Day, Andrew Hemmaplardh, Robert Thurman, John A. Stamatoyannopoulos, William Stafford Noble: Unsupervised segmentation of continuous genomic data. Bioinformatics 23(11): 1424-1426 (2007)
40	EE	Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert, William Stafford Noble: A structural alignment kernel for protein structures. Bioinformatics 23(9): 1090-1098 (2007)
2006
39	EE	Darrin P. Lewis, Tony Jebara, William Stafford Noble: Nonstationary kernel combination. ICML 2006: 553-560
38	EE	Tobias P. Mann, William Stafford Noble: Efficient identification of DNA hybridization partners in a sequence database. ISMB (Supplement of Bioinformatics) 2006: 350-358
37	EE	Darrin P. Lewis, Tony Jebara, William Stafford Noble: Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure. Bioinformatics 22(22): 2753-2760 (2006)
36	EE	Jean-Philippe Vert, Jian Qiu, William Stafford Noble: Metric learning pairwise kernel for graph inference CoRR abs/q-bio/0610040: (2006)
35	EE	Tobias P. Mann, Richard Humbert, John A. Stamatoyannopoulos, William Stafford Noble: Automated Validation of Polymerase Chain Reaction Amplicon Melting Curves. J. Bioinformatics and Computational Biology 4(2): 299-316 (2006)
2005
34	EE	Will Sheffler, Eli Upfal, John Sedivy, William Stafford Noble: A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays. CSB 2005: 144-154
33	EE	Aaron A. Klammer, Christine C. Wu, Michael J. MacCoss, William Stafford Noble: Peptide Charge State Determination for Low-Resolution Tandem Mass Spectra. CSB 2005: 175-185
32	EE	Tobias P. Mann, Richard Humbert, John A. Stamatoyannopoulos, William Stafford Noble: Automated Validation of Polymerase Chain Reactions Using Amplicon Melting Curves. CSB 2005: 377-385
31	EE	Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class protein fold recognition using adaptive codes. ICML 2005: 329-336
30	EE	William Stafford Noble, Scott Kuehn, Robert Thurman, Man Yu, John A. Stamatoyannopoulos: Predicting the in vivo signature of human gene regulatory sequence. ISMB (Supplement of Bioinformatics) 2005: 328-343
29	EE	Asa Ben-Hur, William Stafford Noble: Kernel methods for predicting protein-protein interactions. ISMB (Supplement of Bioinformatics) 2005: 38-46
28	EE	Jean-Philippe Vert, Robert Thurman, William Stafford Noble: Kernels for gene regulatory regions. NIPS 2005
27	EE	Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised protein classification using cluster kernels. Bioinformatics 21(15): 3241-3247 (2005)
26	EE	Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005)
25	EE	Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 81-82 (2005)
24	EE	Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 177-178 (2005)
2004
23	EE	Koji Tsuda, William Stafford Noble: Learning kernels from biological networks by maximizing entropy. ISMB/ECCB (Supplement of Bioinformatics) 2004: 326-333
22	EE	Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble: Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing 2004: 300-311
21	EE	Wei Wu, William Stafford Noble: Genomic data visualization on the Web. Bioinformatics 20(11): 1804-1805 (2004)
20	EE	Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble: A statistical framework for genomic data fusion. Bioinformatics 20(16): 2626-2635 (2004)
19	EE	Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble: Mismatch string kernels for discriminative protein classification. Bioinformatics 20(4): (2004)
18	EE	Paul Pavlidis, Ilan Wapinski, William Stafford Noble: Support vector machine classification on the web. Bioinformatics 20(4): (2004)
2003
17		Timothy L. Bailey, William Stafford Noble: Searching for statistically significant regulatory modules. ECCB 2003: 16-25
16	EE	Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised Protein Classification Using Cluster Kernels. NIPS 2003
15		Paul Pavlidis, Qinghong Li, William Stafford Noble: The effect of replication on gene expression microarray experiments. Bioinformatics 19(13): 1620-1627 (2003)
14		Shawn M. Gomez, William Stafford Noble, Andrey Rzhetsky: Learning to predict protein-protein interactions from protein sequences. Bioinformatics 19(15): 1875-1881 (2003)
13		Jie Qin, Darrin P. Lewis, William Stafford Noble: Kernel hierarchical gene clustering from microarray expression data. Bioinformatics 19(16): 2097-2104 (2003)
12		Paul Pavlidis, William Stafford Noble: Matrix2png: a utility for visualizing matrix data. Bioinformatics 19(2): 295-296 (2003)
11		Eleazar Eskin, William Stafford Noble, Yoram Singer: Protein Family Classification Using Sparse Markov Transducers. Journal of Computational Biology 10(2): 187-214 (2003)
10	EE	Li Liao, William Stafford Noble: Combining Pairwise Sequence Similarity and Support Vector Machines for Detecting Remote Protein Evolutionary and Structural Relationships. Journal of Computational Biology 10(6): 857-868 (2003)
2002
9	EE	Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from almost Orthogonal Patterns. ECML 2002: 511-528
8	EE	Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble: Mismatch String Kernels for SVM Protein Classification. NIPS 2002: 1417-1424
7	EE	Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD 2002: 494-511
6	EE	Paul Pavlidis, Darrin P. Lewis, William Stafford Noble: Exploring Gene Expression Data with Class Scores. Pacific Symposium on Biocomputing 2002: 474-485
5	EE	Christina S. Leslie, Eleazar Eskin, William Stafford Noble: The Spectrum Kernel: A String Kernel for SVM Protein Classification. Pacific Symposium on Biocomputing 2002: 566-575
4	EE	Li Liao, William Stafford Noble: Combining pairwise sequence similarity and support vector machines for remote protein homology detection. RECOMB 2002: 225-232
3		Paul Pavlidis, Jason Weston, Jinsong Cai, William Stafford Noble: Learning Gene Functional Classifications from Multiple Data Types. Journal of Computational Biology 9(2): 401-411 (2002)
2		Eleazar Eskin, William Stafford Noble, Yoram Singer: Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences. Journal of Computational Biology 9(6): 775-792 (2002)
2001
1	EE	Paul Pavlidis, Christopher Tang, William Stafford Noble: Classification of genes using probabilistic models of microarray expression profiles. BIOKDD 2001: 15-21

Coauthor Index

1	Timothy L. Bailey	[17]
2	Asa Ben-Hur	[29] [40]
3	Tijl De Bie	[20]
4	Jeff A. Bilmes (Jeff Bilmes)	[45]
5	Jinsong Cai	[3]
6	Adiel Cohen	[19]
7	Nello Cristianini	[20] [22]
8	Nathan Day	[41]
9	Minghua Deng	[22]
10	André Elisseeff	[16] [27]
11	Eleazar Eskin	[2] [5] [7] [8] [9] [11] [19]
12	Shawn M. Gomez	[14]
13	Andrew Hemmaplardh	[41]
14	Martial Hue	[40]
15	Richard Humbert	[32] [35]
16	Eugene Ie	[27] [31]
17	Tony Jebara	[37] [39]
18	Michael I. Jordan	[20] [22]
19	Lukas Käll	[46]
20	Aaron A. Klammer	[33] [42] [45]
21	Rui Kuang	[26]
22	Scott Kuehn	[30]
23	Gert R. G. Lanckriet	[20] [22]
24	Charles E. Lawrence	[43]
25	Christina S. Leslie	[5] [7] [8] [9] [16] [19] [26] [27] [31]
26	Darrin P. Lewis	[6] [13] [37] [39]
27	Qinghong Li	[15]
28	Heng Lian	[43]
29	Li Liao	[4] [10]
30	Charles X. Ling	[24] [25]
31	Michael J. MacCoss	[33] [42] [45]
32	Tobias P. Mann	[32] [35] [38]
33	Paul Pavlidis	[1] [3] [6] [12] [15] [18]
34	Jie Qin	[13]
35	Jian Qiu	[36] [40]
36	Sheila M. Reynolds	[45]
37	Andrey Rzhetsky	[14]
38	Bernhard Schölkopf	[7] [9]
39	John Sedivy	[34]
40	Roded Sharan	[47]
41	Will Sheffler	[34]
42	Yoram Singer	[2] [11]
43	John A. Stamatoyannopoulos	[30] [32] [35] [41] [43] [44]
44	John D. Storey	[46]
45	Christopher Tang	[1]
46	William A. Thompson	[43]
47	R. E. Thurman	[44]
48	Robert Thurman	[28] [30] [41] [43]
49	Koji Tsuda	[23]
50	Eli Upfal	[34]
51	Jean-Philippe Vert	[28] [36] [40]
52	Ilan Wapinski	[18]
53	Jason Weston	[3] [7] [8] [9] [16] [19] [26] [27] [31]
54	Christine C. Wu	[33]
55	Wei Wu	[21]
56	Qiang Yang	[24] [25]
57	Xianhua Yi	[42]
58	Nir Yosef	[47]
59	Man Yu	[30]
60	Dengyong Zhou	[16] [27]

Colors in the list of coauthors