Maxwell W. Libbrecht

According to our database, Maxwell W. Libbrecht authored at least 18 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Integrative chromatin domain annotation through graph embedding of Hi-C data.

Neda Shokraneh, Mariam Arab, Maxwell W. Libbrecht

Bioinform., January, 2023

2022

DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning.

M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Christian Hallgrimson, François Jean, Ivan Robert Nabi, Maxwell W. Libbrecht, Ghassan Hamarneh

IEEE Trans. Medical Imaging, 2022

Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural Network.

Kevin B. Dsouza, Adam Y. Li, Vijay K. Bhargava, Maxwell W. Libbrecht

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

SigTools: exploratory visualization for genomic signals.

Shohre Masoumi, Maxwell W. Libbrecht, Kay C. Wiese

Bioinform., 2022

Continuous chromatin state feature annotation of the human epigenome.

Habib Daneshpajouh, Bowen Chen, Neda Shokraneh, Shohre Masoumi, Kay C. Wiese, Maxwell W. Libbrecht

Bioinform., 2022

2021

Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patterns.

Maxwell W. Libbrecht, Rachel C. W. Chan, Michael M. Hoffman

PLoS Comput. Biol., 2021

DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning.

M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Ivan Robert Nabi, François Jean, Maxwell W. Libbrecht, Ghassan Hamarneh

CoRR, 2021

Segmentation and genome annotation algorithms.

Maxwell W. Libbrecht, Rachel C. W. Chan, Michael M. Hoffman

CoRR, 2021

VSS: variance-stabilized signals for sequencing-based genomic signals.

Faezeh Bayat, Maxwell W. Libbrecht

Bioinform., 2021

INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis.

Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch

Algorithms Mol. Biol., 2021

Predicting drug resistance in <i>M. tuberculosis</i> using a long-term recurrent convolutional network.

Amir Hosein Safari, Nafiseh Sedaghat, Hooman Zabeti, Alpha Forna, Leonid Chindelevitch, Maxwell W. Libbrecht

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis.

Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch

Proceedings of the 20th International Workshop on Algorithms in Bioinformatics, 2020

2018

Segway 2.0: Gaussian mixture models and minibatch training.

Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman

Bioinform., 2018

Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization.

Maxwell W. Libbrecht, Jeffrey A. Bilmes, William Stafford Noble

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016

Understanding human genome regulation through entropic graph-based regularization and submodular optimization.

Maxwell W. Libbrecht

PhD thesis, 2016

2015

Entropic Graph-based Posterior Regularization.

Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Comparative analysis of metazoan chromatin organization Open.

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

Nat., 2014

2013

Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements.

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

Tiny Trans. Comput. Sci., 2013