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检索条件"机构=Computational and Systems Biology PhD Program"
21 条 记 录,以下是1-10 订阅
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Machine learning approaches enable the discovery of therapeutics across domains
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Molecular Therapy 2025年 第5期33卷 2269-2278页
作者: Chhibbar, Prabal Das, Jishnu Centre for Systems Immunology Department of Immunology School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States Department of Computational and Systems Biology School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States Integrative Systems Biology PhD Program School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States
Multi-modal datasets have grown exponentially in the last decade. This has created an enormous demand for machine learning models that can predict complex outcomes by leveraging cellular, molecular, and humoral profil... 详细信息
来源: 评论
Dish-Trend: Intervention Modeling Simulator That Accounts for Trend Influences
Dish-Trend: Intervention Modeling Simulator That Accounts fo...
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2021 Winter Simulation Conference, WSC 2021
作者: Andjelkovic, Stefan Miskov-Zivanov, Natasa Computational and Systems Biology Joint Carnegie Mellon University University of Pittsburgh Computational Biology PhD Program University of Pittsburgh PittsburghPA15213 United States Electrical and Computer Engineering Bioengineering Computational and Systems Biology University of Pittsburgh PittsburghPA15213 United States
Simulation on directed graphs is an important method for understanding the dynamics in the systems where connectivity graphs contain cycles. Discrete Stochastic Heterogeneous Simulator (DiSH) is one of the simulation ... 详细信息
来源: 评论
Author Correction: Progressive plasticity during colorectal cancer metastasis
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Nature 2025年 第8047期637卷 E28页
作者: Andrew Moorman Elizabeth K Benitez Francesco Cambuli Qingwen Jiang Ahmed Mahmoud Melissa Lumish Saskia Hartner Sasha Balkaran Jonathan Bermeo Simran Asawa Canan Firat Asha Saxena Fan Wu Anisha Luthra Cassandra Burdziak Yubin Xie Valeria Sgambati Kathleen Luckett Yanyun Li Zhifan Yi Ignas Masilionis Kevin Soares Emmanouil Pappou Rona Yaeger T Peter Kingham William Jarnagin Philip B Paty Martin R Weiser Linas Mazutis Michael D'Angelica Jinru Shia Julio Garcia-Aguilar Tal Nawy Travis J Hollmann Ronan Chaligné Francisco Sanchez-Vega Roshan Sharma Dana Pe'er Karuna Ganesh Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA. Molecular Pharmacology Program Memorial Sloan Kettering Cancer Center New York NY USA. Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program New York NY USA. New York Genome Center New York NY USA. Pharmacology Program Weill Cornell Graduate School New York NY USA. Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA. Case Western Reserve University Cleveland OH USA. Department of Pathology and Laboratory Medicine Memorial Sloan Kettering Cancer Center New York NY USA. Department of Surgery Memorial Sloan Kettering Cancer Center New York NY USA. Tri-Institutional PhD Program in Computational Biology and Medicine New York NY USA. Bristol Myers Squibb Princeton NJ USA. Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA. peerd@***. Howard Hughes Medical Institute Chevy Chase MD USA. peerd@***. Molecular Pharmacology Program Memorial Sloan Kettering Cancer Center New York NY USA. ganeshk@***. Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA. ganeshk@***.
来源: 评论
Spectral clustering strategies for heterogeneous disease expression data  18
Spectral clustering strategies for heterogeneous disease exp...
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18th Pacific Symposium on Biocomputing, PSB 2013
作者: Huang, Grace T. Cunningham, Kathryn I. Benos, Panayiotis V. Chennubhotla, Chakra S. Department of Computational and Systems Biology University of Pittsburgh PittsburghPA United States Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh PittsburghPA United States Clinical and Translational Science Institute University of Pittsburgh PittsburghPA United States Department of Computer Science University of Arizona TucsonAZ United States
Clustering of gene expression data simplifies subsequent data analyses and forms the basis of numerous approaches for biomarker identification, prediction of clinical outcome, and personalized therapeutic strategies. ... 详细信息
来源: 评论
Dish-Trend: Intervention Modeling Simulator That Accounts for Trend Influences
Dish-Trend: Intervention Modeling Simulator That Accounts fo...
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Simulation Winter Conference
作者: Stefan Andjelkovic Natasa Miskov-Zivanov Computational and Systems Biology Joint Carnegie Mellon University and University of Pittsburgh Computational Biology PhD Program University of Pittsburgh Pittsburgh PA USA Electrical and Computer Engineering Bioengineering Computational and Systems Biology University of Pittsburgh Pittsburgh PA USA
Simulation on directed graphs is an important method for understanding the dynamics in the systems where connectivity graphs contain cycles. Discrete Stochastic Heterogeneous Simulator (DiSH) is one of the simulation ... 详细信息
来源: 评论
Dish-trend: Intervention modeling simulator that accounts for trend influences
arXiv
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arXiv 2021年
作者: Andjelkovic, Stefan Miskov-Zivanov, Natasa Computational and Systems Biology Joint Carnegie Mellon University University of Pittsburgh Computational Biology PhD Program University of Pittsburgh 4420 Bayard St PittsburghPA15213 United States Electrical and Computer Engineering Bioengineering Computational and Systems Biology University of Pittsburgh 4420 Bayard St PittsburghPA15213 United States
Simulation on directed graphs is an important method for understanding the dynamics in the systems where connectivity graphs contain cycles. Discrete Stochastic Heterogeneous Simulator (DiSH) is one of the simulation ... 详细信息
来源: 评论
COEM: Cross-Modal Embedding for MetaCell Identification
arXiv
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arXiv 2022年
作者: Mao, Haiyi Jia, Minxue Dou, Jason Xiaotian Zhang, Haotian Benos, Panayiotis V. Department of Computational and Systems Biology University of Pittsburgh PA United States Joint Carnegie Mellon University University of Pittsburgh PhD Program in Computational Biology United States Department of Electrical and Computer Engineering University of Pittsburgh PA United States
Metacells are disjoint and homogeneous groups of single-cell profiles, representing discrete and highly granular cell states. Existing metacell algorithms tend to use only one modality to infer metacells, even though ... 详细信息
来源: 评论
Mixed graphical models for causal analysis of multi-modal variables
arXiv
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arXiv 2017年
作者: Sedgewick, Andrew J. Ramsey, Joseph D. Spirtes, Peter Glymour, Clark Benos, Panayiotis V. Department of Computational and Systems Biology University of Pittsburgh School of Medicine PittsburghPA United States Joint Carnegie Mellon University University of Pittsburgh PhD Program in Computational Biology PittsburghPA United States Department of Bioengineering University of Pittsburgh PittsburghPA United States Department of Philosophy Carnegie Mellon University PittsburghPA United States
Graphical causal models are an important tool for knowledge discovery because they can represent both the causal relations between variables and the multivariate probability distributions over the data. Once learned, ... 详细信息
来源: 评论
End-to-End Differentiable Molecular Mechanics Force Field Construction
arXiv
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arXiv 2020年
作者: Wang, Yuanqing Fass, Josh Kaminow, Benjamin Herr, John E. Rufa, Dominic Zhang, Ivy Pulido, Iván Henry, Mike Chodera, John D. Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Tri-Institutional PhD Program in Computational Biology and Medicine Weill Cornell Medical College Cornell University New YorkNY10065 United States Physiology Biophysics and System Biology Ph.D. Program Weill Cornell Medical College Cornell University New YorkNY10065 United States Program in Creative Writing Division of Humanities and Arts The City College of New York The City University of New York New YorkNY10031 United States
Molecular mechanics (MM) potentials have long been a workhorse of computational chemistry. Leveraging accuracy and speed, these functional forms find use in a wide variety of applications in biomolecular modeling and ... 详细信息
来源: 评论
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods
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Current Opinion in Structural biology 2023年 78卷 102517页
作者: Banerjee, Anupam Saha, Satyaki Tvedt, Nathan C. Yang, Lee-Wei Bahar, Ivet Computational and Systems Biology University of Pittsburgh School of Medicine Pittsburgh 15261 PA United States Computational and Applied Mathematics and Statistics The College of William and Mary Williamsburg 23185 VA United States Institute of Bioinformatics and Structural Biology and PhD Program in Biomedical Artificial Intelligence National Tsing Hua University Hsinchu 300044 Taiwan Physics Division National Center for Theoretical Sciences Taipei 106319 Taiwan
Proteins sample an ensemble of conformers under physiological conditions, having access to a spectrum of modes of motions, also called intrinsic dynamics. These motions ensure the adaptation to various interactions in...
来源: 评论