William Stafford Noble

	2009
58		Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble: On the Relationship between DNA Periodicity and Local Chromatin Structure. RECOMB 2009: 434-450
57		Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: RANKPROP: a web server for protein remote homology detection. Bioinformatics 25(1): 121-122 (2009)
56		John Hawkins, Charles E. Grant, William Stafford Noble, Timothy L. Bailey: Assessing phylogenetic motif models for predicting transcription factor binding sites. Bioinformatics 25(12): (2009)
55		Lukas Käll, John D. Storey, William Stafford Noble: QVALITY: non-parametric estimation of q-values and posterior error probabilities. Bioinformatics 25(7): 964-966 (2009)
54		Timothy L. Bailey, Mikael Bodén, Fabian A. Buske, Martin Frith, Charles E. Grant, Luca Clementi, Jingyuan Ren, Wilfred W. Li, William Stafford Noble: MEME SUITE: tools for motif discovery and searching. Nucleic Acids Research 37(Web-Server-Issue): 202-208 (2009)
	2008
53		Nir Yosef, Roded Sharan, William Stafford Noble: Improved network-based identification of protein orthologs. ECCB 2008: 200-206
52		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
51		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
50		R. E. Thurman, William Stafford Noble, John A. Stamatoyannopoulos: Multi-Scale Correlations in Continuous Genomic Data. Pacific Symposium on Biocomputing 2008: 201-215
49		Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics 9: (2008)
48		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
47		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
46		Jean-Philippe Vert, Jian Qiu, William Stafford Noble: A new pairwise kernel for biological network inference with support vector machines. BMC Bioinformatics 8(S-10): (2007)
45		Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda: NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinformatics 8(S-10): (2007)
44		Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics 8(S-4): (2007)
43		Nathan Day, Andrew Hemmaplardh, Robert Thurman, John A. Stamatoyannopoulos, William Stafford Noble: Unsupervised segmentation of continuous genomic data. Bioinformatics 23(11): 1424-1426 (2007)
42		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
41		Darrin P. Lewis, Tony Jebara, William Stafford Noble: Nonstationary kernel combination. ICML 2006: 553-560
40		Tobias P. Mann, William Stafford Noble: Efficient identification of DNA hybridization partners in a sequence database. ISMB (Supplement of Bioinformatics) 2006: 350-358
39		Asa Ben-Hur, William Stafford Noble: Choosing negative examples for the prediction of protein-protein interactions. BMC Bioinformatics 7(S-1): (2006)
38		Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics 7(S-1): (2006)
37		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		Jean-Philippe Vert, Jian Qiu, William Stafford Noble: Metric learning pairwise kernel for graph inference CoRR abs/q-bio/0610040: (2006)
35		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		Will Sheffler, Eli Upfal, John Sedivy, William Stafford Noble: A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays. CSB 2005: 144-154
33		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		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		Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class protein fold recognition using adaptive codes. ICML 2005: 329-336
30		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		Asa Ben-Hur, William Stafford Noble: Kernel methods for predicting protein-protein interactions. ISMB (Supplement of Bioinformatics) 2005: 38-46
28		Jean-Philippe Vert, Robert Thurman, William Stafford Noble: Kernels for gene regulatory regions. NIPS 2005
27		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		Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005)
25		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		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		Koji Tsuda, William Stafford Noble: Learning kernels from biological networks by maximizing entropy. ISMB/ECCB (Supplement of Bioinformatics) 2004: 326-333
22		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		Wei Wu, William Stafford Noble: Genomic data visualization on the Web. Bioinformatics 20(11): 1804-1805 (2004)
20		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		Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble: Mismatch string kernels for discriminative protein classification. Bioinformatics 20(4): (2004)
18		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		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		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		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		Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble: Mismatch String Kernels for SVM Protein Classification. NIPS 2002: 1417-1424
7		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		Paul Pavlidis, Darrin P. Lewis, William Stafford Noble: Exploring Gene Expression Data with Class Scores. Pacific Symposium on Biocomputing 2002: 474-485
5		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		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		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] [54] [56]
2	Asa Ben-Hur	[29] [39] [42]
3	Tijl De Bie	[20]
4	Jeff A. Bilmes (Jeff Bilmes)	[51] [58]
5	Mikael Bodén	[54]
6	Fabian A. Buske	[54]
7	Jinsong Cai	[3]
8	Gal Chechik	[45]
9	Luca Clementi	[54]
10	Adiel Cohen	[19]
11	Nello Cristianini	[20] [22]
12	Nathan Day	[43]
13	Minghua Deng	[22]
14	André Elisseeff	[16] [27]
15	Eleazar Eskin	[2] [5] [7] [8] [9] [11] [19]
16	Martin Frith	[54]
17	Shawn M. Gomez	[14]
18	Charles E. Grant	[54] [56]
19	John Hawkins	[56]
20	Andrew Hemmaplardh	[43]
21	Martial Hue	[42]
22	Richard Humbert	[32] [35]
23	Eugene Ie	[27] [31] [44]
24	Tony Jebara	[37] [41]
25	Michael I. Jordan	[20] [22]
26	Lukas Käll	[52] [55]
27	Aaron A. Klammer	[33] [47] [51]
28	Rui Kuang	[26] [38] [44]
29	Scott Kuehn	[30]
30	Gert R. G. Lanckriet	[20] [22]
31	Charles E. Lawrence	[48]
32	Christina S. Leslie	[5] [7] [8] [9] [16] [19] [26] [27] [31] [38] [44] [45] [49] [57]
33	Darrin P. Lewis	[6] [13] [37] [41]
34	Qinghong Li	[15]
35	Wilfred W. Li	[54]
36	Heng Lian	[48]
37	Li Liao	[4] [10]
38	Charles X. Ling	[24] [25]
39	Michael J. MacCoss	[33] [47] [51]
40	Tobias P. Mann	[32] [35] [40]
41	Iain Melvin	[44] [49] [57]
42	Quaid Morris	[45]
43	Paul Pavlidis	[1] [3] [6] [12] [15] [18]
44	Jie Qin	[13]
45	Jian Qiu	[36] [42] [46]
46	Gunnar Rätsch	[45]
47	Jingyuan Ren	[54]
48	Sheila M. Reynolds	[51] [58]
49	Andrey Rzhetsky	[14]
50	Bernhard Schölkopf	[7] [9]
51	John Sedivy	[34]
52	Roded Sharan	[53]
53	Will Sheffler	[34]
54	Yoram Singer	[2] [11]
55	John A. Stamatoyannopoulos	[30] [32] [35] [43] [48] [50]
56	John D. Storey	[52] [55]
57	Christopher Tang	[1]
58	William A. Thompson	[48]
59	R. E. Thurman	[50]
60	Robert Thurman	[28] [30] [43] [48]
61	Koji Tsuda	[23] [45]
62	Eli Upfal	[34]
63	Jean-Philippe Vert	[28] [36] [42] [46]
64	Ilan Wapinski	[18]
65	Jason Weston	[3] [7] [8] [9] [16] [19] [26] [27] [31] [38] [44] [49] [57]
66	Christine C. Wu	[33]
67	Wei Wu	[21]
68	Qiang Yang	[24] [25]
69	Xianhua Yi	[47]
70	Nir Yosef	[53]
71	Man Yu	[30]
72	Dengyong Zhou	[16] [27]

Colors in the list of coauthors