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Maxwell W. Libbrecht
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2020 – today
- 2023
- [j10]Neda Shokraneh, Mariam Arab, Maxwell W. Libbrecht:
Integrative chromatin domain annotation through graph embedding of Hi-C data. Bioinform. 39(1) (2023) - [c5]Neda Shokraneh Kenari, Megan Andrews, Max W. Libbrecht:
Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data. MLCB 2023: 176-193 - 2022
- [j9]Shohre Masoumi, Maxwell W. Libbrecht, Kay C. Wiese:
SigTools: exploratory visualization for genomic signals. Bioinform. 38(4): 1126-1128 (2022) - [j8]Habib Daneshpajouh, Bowen Chen, Neda Shokraneh, Shohre Masoumi, Kay C. Wiese, Maxwell W. Libbrecht:
Continuous chromatin state feature annotation of the human epigenome. Bioinform. 38(11): 3029-3036 (2022) - [j7]Kevin B. Dsouza, Adam Y. Li, Vijay K. Bhargava, Maxwell W. Libbrecht:
Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2313-2323 (2022) - [j6]M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Christian Hallgrimson, François Jean, Ivan Robert Nabi, Maxwell W. Libbrecht, Ghassan Hamarneh:
DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning. IEEE Trans. Medical Imaging 41(11): 3128-3145 (2022) - 2021
- [j5]Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch:
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis. Algorithms Mol. Biol. 16(1): 17 (2021) - [j4]Faezeh Bayat, Maxwell W. Libbrecht:
VSS: variance-stabilized signals for sequencing-based genomic signals. Bioinform. 37(23): 4383-4391 (2021) - [j3]Maxwell W. Libbrecht, Rachel C. W. Chan, Michael M. Hoffman:
Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patterns. PLoS Comput. Biol. 17(10) (2021) - [c4]Amir Hosein Safari, Nafiseh Sedaghat, Hooman Zabeti, Alpha Forna, Leonid Chindelevitch, Maxwell W. Libbrecht:
Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network. BCB 2021: 29:1-29:10 - [i3]Maxwell W. Libbrecht, Rachel C. W. Chan, Michael M. Hoffman:
Segmentation and genome annotation algorithms. CoRR abs/2101.00688 (2021) - [i2]M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Ivan Robert Nabi, François Jean, Maxwell W. Libbrecht, Ghassan Hamarneh:
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning. CoRR abs/2105.05758 (2021) - 2020
- [c3]Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch:
An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis. WABI 2020: 2:1-2:18
2010 – 2019
- 2018
- [j2]Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman:
Segway 2.0: Gaussian mixture models and minibatch training. Bioinform. 34(4): 669-671 (2018) - [c2]Maxwell W. Libbrecht, Jeffrey A. Bilmes, William Stafford Noble:
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization. BCB 2018: 566 - 2017
- [d2]Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman:
Segway 2.0 Application Note Datasets. Zenodo, 2017 - [d1]Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman:
Segway 2.0 Application Note Scripts. Zenodo, 2017 - 2016
- [b1]Maxwell W. Libbrecht:
Understanding human genome regulation through entropic graph-based regularization and submodular optimization. University of Washington, USA, 2016 - 2015
- [c1]Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble:
Entropic Graph-based Posterior Regularization. ICML 2015: 1992-2001 - 2014
- [j1]Joshua Wing Kei Ho, Youngsook L. Jung, Tao Liu, Burak Han Alver, Soohyun Lee, Kohta Ikegami, Kyung-Ah Sohn, Aki Minoda, Michael Y. Tolstorukov, Alex Appert, Stephen C. J. Parker, Tingting Gu, Anshul Kundaje, Nicole C. Riddle, Eric Bishop, Thea A. Egelhofer, Sheng'en Shawn Hu, Artyom A. Alekseyenko, Andreas Rechtsteiner, Dalal Asker, Jason A. Belsky, Sarah K. Bowman, Q. Brent Chen, Ron A.-J. Chen, Daniel S. Day, Yan Dong, Andrea C. Dose, Xikun Duan, Charles B. Epstein, Sevinc Ercan, Elise A. Feingold, Francesco Ferrari, Jacob M. Garrigues, Nils Gehlenborg, Peter J. Good, Psalm Haseley, Daniel He, Moritz Herrmann, Michael M. Hoffman, Tess E. Jeffers, Peter V. Kharchenko, Paulina Kolasinska-Zwierz, Chitra V. Kotwaliwale, Nischay Kumar, Sasha A. Langley, Erica Larschan, Isabel Latorre, Maxwell W. Libbrecht, Xueqiu Lin, Richard Park, Michael J. Pazin, Hoang N. Pham, Annette Plachetka, Bo Qin, Yuri B. Schwartz, Noam Shoresh, Przemyslaw Stempor, Anne Vielle, Chengyang Wang, Christina M. Whittle, Huiling Xue, Robert E. Kingston, Ju Han Kim, Bradley E. Bernstein, Abby F. Dernburg, Vincenzo Pirrotta, Mitzi I. Kuroda, William S. Noble, Thomas D. Tullius, Manolis Kellis, David M. MacAlpine, Susan Strome, Sarah C. R. Elgin, Xiaole Shirley Liu, Jason D. Lieb, Julie Ahringer, Gary H. Karpen, Peter J. Park:
Comparative analysis of metazoan chromatin organization Open. Nat. 512(7515): 449-452 (2014) - 2013
- [i1]Anshul Kundaje, Sofia Kyriazopoulou-Panagiotopoulou, Max W. Libbrecht, Cheryl L. Smith, Debasish Raha, Elliott E. Winters, Steven M. Johnson, Michael P. Snyder, Serafim Batzoglou, Arend Sidow:
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements. Tiny Trans. Comput. Sci. 2 (2013)
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