Explore the scholarly works of Sayan Mukherjee. Browse journal articles, contributions in books and conference proceedings, academic theses, or discover the latest research through preprints.
Eric Roldán Roa, Érika Roldán, Doris Kristina Raave, Jo Van Herwegen, Nina Politimou, Sayan Mukherjee, Tyler Colasante, Tina Malti, Julia Mori and Marcus Specht
Play My Math : first development cycle of an EdTech tool supporting the teaching and learning of fractions through music in algebraic notation
In: Technology enhanced learning for inclusive and equitable quality education : 19th European conference on technology enhanced learning, EC-TEL 2024, Krems, Austria, September 16-20, 2024, proceedings, Part II Cham : Springer, 2024.
Global optimality of Elman-type RNNs in the mean-field regime
In: Proceedings of the 40th international conference on machine learning : , 23-29 July 2023, Honolulu, Hawaii, USA [s. l.] : PMLR, 2023. - pp. 196-227 (Proceedings of machine learning research ; 202)
Youngsoo Baek, Samuel I. Berchuck and Sayan Mukherjee
Asymptotics of Bayesian uncertainty estimation in random features regression
In: Advances in neural information processing systems 36 : NeurIPS 2023 ; annual conference on neural information processing systems 2023 [S. L.] : NeurIPS, 2023. - pp. 40140-40153
Kimberly Roche, Johannes R. Bjork, Mauna R. Dasari, Laura Grieneisen, David Jansen, Trevor J. Gould, Laurence R. Gesquiere, Luis B. Barreiro, Susan C. Alberts, Ran Blekhaman, Jack A. Gilbert, Jenny Tung, Sayan Mukherjee and Elizabeth A. Archie
Universal gut microbial relationships in the gut microbiome of wild baboons
Johannes R. Björk, Mauna R. Dasari, Kimberly Roche, Laura Grieneisen, Trevor J. Gould, Jean-Christophe Grenier, Vania Yotova, Neil Gottel, David Jansen, Laurence R. Gesquiere, Jacob B. Gordon, Niki H. Learn, Tim L. Wango, Raphael S. Mututua, J. Kinyua Warutere, Lon'ida Siodi, Sayan Mukherjee, Luis B. Barreiro, Susan C. Alberts, Jack A. Gilbert, Jenny Tung, Ran Blekhman and Elizabeth A. Archie
Synchrony and idiosyncrasy in the gut microbiome of wild baboons
In: Nature ecology and evolution, 6 (2022) 7, pp. 955-964
Wai Shing Tang, Gabriel Monteiro da Silva, Henry Kirveslahti, Erin Skeens, Bibo Feng, Timothy Sudijono, Kevin K. Yang, Sayan Mukherjee, Brenda Rubenstein and Lorin Crawford
A topological data analytic approach for discovering biophysical signatures in protein dynamics
Jordan Bryan, Arpita Mandan, Gauri Kamat, W. Kirby Gottschalk, Alexandra Badea, Kendra J. Adams, J. Will Thompson, Carol A. Colton, Sayan Mukherjee and Michael W. Lutz
Likelihood ratio statistics for gene set enrichment in Alzheimer's disease pathways
In: Alzheimer's and dementia, 17 (2021) 4, pp. 561-573
Rachel A. Johnston, Philippe Vullioud, Jack Thorley, Henry Kirveslahti, Leyao Shen, Sayan Mukherjee, Courtney M. Karner, Tim Clutton-Brock and Jenny Tung
Morphological and genomic shifts in mole-rat 'queens' increase fecundity but reduce skeletal integrity
Xiangyu Zhang, Ramin Bashizade, Yicheng Wang, Sayan Mukherjee and Alvin R. Lebeck
Statistical robustness of Markov chain Monte Carlo accelerators
In: ASPLOS 2021 : Proceedings of the 26th ACM international conference on architectural support for programming languages and operating systems ; virtual ; April 19 - 23, 2021 / Tim Sherwood (ed.) New York, NY : Association for Computing Machinery, 2021. - pp. 959-974
Tingran Gao, Gabriel S. Yapuncich, Ingrid Daubechies, Sayan Mukherjee and Doug M. Boyer
Development and assessment of fully automated and globally transitive geometric morphometric methods, with application to a biological comparative dataset with high interspecific variation
In: The anatomical record : advances in integrative anatomy and evolutionary biology, 301 (2018) 4, pp. 636-658
Zilong Tan, Kimberly Roche, Xiang Zhou and Sayan Mukherjee
Scalable algorithms for learning high-dimensional linear mixed model
In: Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, {UAI} 2018, Monterey, California, USA, August 6-10, 2018 / Amir Globerson... (eds.) Corvallis, Or. : AUAI Press, 2018. - pp. 259-268
Katherine R. Singleton, Lorin Crawford, Elisabeth Tsui, Haley E. Manchester, Ophelia Maertens, Xiaojing Liu, Maria Liberti, Anniefer N. Magpusao, Drew J. Adams, Jason W. Locasale, Karen Cichowski, Sayan Mukherjee and Kris C. Wood
Melanoma therapeutic strategies that select against resistance by exploiting MYC-driven evolutionary convergence
Partitioned tensor factorizations for learning mixed membership models
In: Proceedings of the 34th international conference on machine learning : 6-11 August 2017, International Convention Centre, Sydney, Australia / Doina Precup... (eds.) Long Beach, California : PMLR, 2017. - pp. 3358-3367 (Proceedings of machine learning research ; 70)
Noah Snyder-Mackler, William H. Majoros, Michael L. Yuan, Amanda O. Shaver, Jacob B. Gordon, Gisela H. Kopp, Stephen A. Schlebusch, Jeffrey D. Wall, Susan C. Alberts, Sayan Mukherjee, Xiang Zhou and Jenny Tung
Efficient genome-wide sequencing and low-coverage pedigree analysis from noninvasively collected samples
In: Geometric science of information : second international conference, GSI 2015, Palaiseau, France, October 28-30, 2015, proceedings / Frank Nielsen... (eds.) Cham : Springer, 2015. - pp. 359-368 (Lecture notes in computer science ; 9389)
Laughlin Stewart, Evan L. MacLean, David Ivy, Vanessa Woods, Eliot Cohen, Kerri Rodriguez, Matthew McIntyre, Sayan Mukherjee, Josep Call, Juliane Kaminski, Miklósi ÔAdáms, Richard W. Wrangham and Brian Hare
Citizen science as a new tool in dog cognition research
Wuzhou Zhang, Pankaj K. Agarwal and Sayan Mukherjee
Contour trees of uncertain terrains
In: SIGSPATIAL '15 : Proceedings of the 23rd SIGSPATIAL international conference on advances in geographic information systems ; November 3 - 6, 2015 ; Washington, Seattle / Mohamed Ali... (eds.) New York, NY : ACM, 2015. - p. 43
Osceola Whitney, Andreas R. Pfenning, Jason T. Howard, Charles A. Blatti, Fang Liu, James M. Ward, Rui Wang, Jean-Nicolas Audet, Manolis Kellis, Sayan Mukherjee, Saurabh Sinha, Alexander J. Hartemink, Anne E. West and Erich D. Jarvis
Core and region-enriched networks of behaviorally regulated genes and the singing genome
Brian D. Bennett, Qing Xiong, Sayan Mukherjee and Terrence S. Furey
Correction [update acknowledgement]: 'A predictive framework for integrating disparate genomic data types using sample-specific gene set enrichment analysis and multi-task learning' [In: PLOS ONE, 7 (2012) 9 , e44635]
Jordan M. Blum, Leonor Ano, Zhizhong Li, David Van Mater, Brian D. Bennett, Mohit Sachdeva, Irina Lagutina, Minsi Zhang, Jeffrey K. Mito, Christoph Lepper, Corinne M. Linardic, Sayan Mukherjee, Gerad C. Grosveld, Chen-Ming Fan and David G. Kirsch
Distinct and overlapping sarcoma subtypes initiated from muscle stem and progenitor cells
Bradford A. Perez, A. Paiman Ghafoori, Chang-Lung Lee, Samuel M. Johnston, Yifan Li, Jacob G. Moroshek, Yan Ma, Sayan Mukherjee, Yongbaek Kim, Christian T. Badea and David G. Kirsch
Assessing the radiation response of lung cancer with different gene mutations using genetically engineered mice
Laura A. Simmons Kovacs, Michael B. Mayhew, David A. Orlando, Yuanjie Jin, Qingyun Li, Chenchen Huang, Steven I. Reed, Sayan Mukherjee and Steven B. Haase
Erratum: 'Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network' [In: Molecular cell, 45 (2012) 5, p. 669-679]
Local homology transfer and stratification learning
In: Proceedings of the 23rd annual ACM-SIAM symposium on discrete algorithms, SODA 2012, Kyoto, Japan, January 17-19, 2012 Philadelphia, PA : Society for Industrial and Applied Mathematics, 2012. - pp. 1355-1370
Laura A. Simmons Kovacs, Michael B. Mayhew, David A. Orlando, Yuanjie Jin, Qingyun Li, Chenchen Huang, Steven I. Reed, Sayan Mukherjee and Steven B. Haase
Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network
Justin Guinney, Philip Febbo, Mauro Maggioni and Sayan Mukherjee
Multiscale factor models for molecular networks
In: JSM proceedings of the American Statistical Association : papers presented at the joint statistical meetings 2010 Alexandria, Va. : ASA, 2010. - pp. 4887-4901
Supervised dimension reduction using Bayesian mixture modeling
In: Proceedings of the thirteenth international conference on artificial intelligence and statistics Long Beach, California : PMLR, 2010. - pp. 501-508 (Proceedings of machine learning research ; 9)
David S. Hsu, Chaitanya R. Acharya, Bala S. Balakumaran, Richard F. Riedel, Mickey K. Kim, Marvaretta Stevenson, Sascha Tuchman, Sayan Mukherjee, William Barry, Holly K. Dressman, Joseph R. Nevins, Scott Powers, David Mu and Anil Potti
Characterizing the developmental pathways TTF-1, NKX2-8, and PAX9 in lung cancer
In: Proceedings of the National Academy of Sciences of the United States of America, 106 (2009) 13, pp. 5312-5317
Jeffrey K. Mito, Richard F. Riedel, Leslie Dodd, Guy Lahat, Alexander J. Lazar, Rebecca D. Dodd, Lars Stangenberg, William C. Eward, Francis J. Hornicek, Sam S. Yoon, Brian E. Brigman, Tyler Jacks, Dina Lev, Sayan Mukherjee and David G. Kirsch
Cross species genomic analysis identifies a mouse model as undifferentiated Pleomorphic Sarcoma/Malignant Fibrous Histiocytoma
Kelly H. Salter, Chaitanya R. Acharya, Kelli S. Walters, Richard Redman, Ariel Anguiano, Katherine S. Garman, Carey K. Anders, Sayan Mukherjee, Holly K. Dressman, William T. Barry, Kelly P. Marcom, John Olson, Joseph R. Nevins and Anil Potti
An integrated approach to the prediction of chemotherapeutic response in patients with breast cancer
Jen-Tsan Chi, Edwin H. Rodriguez, Zhen Wang, Dimitry S. A. Nuyten, Sayan Mukherjee, Matt Van de Rijn, Marc J. Van de Vijver, Trevor Hastie and Patrick O. Brown
Gene expression programs of human smooth muscle cells : tissue-specific differentiation and prognostic significance in breast cancers