Zobrazeno 1 - 10
of 615
pro vyhledávání: '"Forrow A"'
Autor:
Forrow, Aden
Progress on modern scientific questions regularly depends on using large-scale datasets to understand complex dynamical systems. An especially challenging case that has grown to prominence with advances in single-cell sequencing technologies is learn
Externí odkaz:
http://arxiv.org/abs/2408.14408
Autor:
Thal, Dan R. C., Forrow, Lauren V., Lipman, Erin R., Starling, Jennifer E., Finucane, Mariel M.
This paper introduces aggregate Bayesian Causal Forests (aBCF), a new Bayesian model for causal inference using aggregated data. Aggregated data are common in policy evaluations where we observe individuals such as students, but participation in an i
Externí odkaz:
http://arxiv.org/abs/2407.07067
Autor:
Ventre, Elias, Forrow, Aden, Gadhiwala, Nitya, Chakraborty, Parijat, Angel, Omer, Schiebinger, Geoffrey
A core challenge for modern biology is how to infer the trajectories of individual cells from population-level time courses of high-dimensional gene expression data. Birth and death of cells present a particular difficulty: existing trajectory infere
Externí odkaz:
http://arxiv.org/abs/2307.07687
Autor:
Anne Huber, Amr H. Allam, Christine Dijkstra, Stefan Thiem, Jennifer Huynh, Ashleigh R. Poh, Joshua Konecnik, Saumya P. Jacob, Rita Busuttil, Yang Liao, David Chisanga, Wei Shi, Mariah G. Alorro, Stephen Forrow, Daniele V.F. Tauriello, Eduard Batlle, Alex Boussioutas, David S. Williams, Michael Buchert, Matthias Ernst, Moritz F. Eissmann
Publikováno v:
Cell Reports, Vol 43, Iss 8, Pp 114616- (2024)
Summary: Although aberrant activation of the KRAS and PI3K pathway alongside TP53 mutations account for frequent aberrations in human gastric cancers, neither the sequence nor the individual contributions of these mutations have been clarified. Here,
Externí odkaz:
https://doaj.org/article/bcbb4c19d532433d8228119f5febdeda
Autor:
Michaels, Yale S., Major, Matthew C., Bonham-Carter, Becca, Zhang, Jingqi, Heydari, Tiam, Edgar, John M., Siu, Mona M., Greenstreet, Laura, Vilarrasa-Blasi, Roser, Kim, Seungjoon, Castle, Elizabeth L., Forrow, Aden, Ibanez-Rios, M. Iliana, Zimmerman, Carla, Chung, Yvonne, Stach, Tara, Werschler, Nico, Knapp, David J.H.F., Vento-Tormo, Roser, Schiebinger, Geoffrey, Zandstra, Peter W.
Publikováno v:
In Cell Systems 18 December 2024 15(12):1245-1263
Autor:
Forrow, Aden, Baker, Ruth E.
Complex scientific models where the likelihood cannot be evaluated present a challenge for statistical inference. Over the past two decades, a wide range of algorithms have been proposed for learning parameters in computationally feasible ways, often
Externí odkaz:
http://arxiv.org/abs/2112.08096
Autor:
Zurovac, Jelena, Cook, Thomas D., Deke, John, Finucane, Mariel M., Chaplin, Duncan, Coopersmith, Jared S., Barna, Michael, Forrow, Lauren Vollmer
Observational studies are needed when experiments are not possible. Within study comparisons (WSC) compare observational and experimental estimates that test the same hypothesis using the same treatment group, outcome, and estimand. Meta-analyzing 39
Externí odkaz:
http://arxiv.org/abs/2111.06941
Autor:
Huber, Anne, Allam, Amr H., Dijkstra, Christine, Thiem, Stefan, Huynh, Jennifer, Poh, Ashleigh R., Konecnik, Joshua, Jacob, Saumya P., Busuttil, Rita, Liao, Yang, Chisanga, David, Shi, Wei, Alorro, Mariah G., Forrow, Stephen, Tauriello, Daniele V.F., Batlle, Eduard, Boussioutas, Alex, Williams, David S., Buchert, Michael, Ernst, Matthias, Eissmann, Moritz F.
Publikováno v:
In Cell Reports 27 August 2024 43(8)
Autor:
Mortimer, Thomas, Zinna, Valentina M., Atalay, Muge, Laudanna, Carmelo, Deryagin, Oleg, Posas, Guillem, Smith, Jacob G., García-Lara, Elisa, Vaca-Dempere, Mireia, Monteiro de Assis, Leonardo Vinícius, Heyde, Isabel, Koronowski, Kevin B., Petrus, Paul, Greco, Carolina M., Forrow, Stephen, Oster, Henrik, Sassone-Corsi, Paolo, Welz, Patrick-Simon, Muñoz-Cánoves, Pura, Benitah, Salvador Aznar
Publikováno v:
In Cell Stem Cell 6 June 2024 31(6):834-849
Autor:
Noelle M. Cocoros, Sheryl A. Kluberg, Sarah J. Willis, Susan Forrow, Bradford D. Gessner, Cameron T. Nutt, Alejandro Cane, Nathan Petrou, Meera Sury, Chanu Rhee, Luis Jodar, Aaron Mendelsohn, Emma R. Hoffman, Robert Jin, John Aucott, Sarah J. Pugh, James H. Stark
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 9, Pp 1772-1779 (2023)
Compared with notifiable disease surveillance, claims-based algorithms estimate higher Lyme disease incidence, but their accuracy is unknown. We applied a previously developed Lyme disease algorithm (diagnosis code plus antimicrobial drug prescriptio
Externí odkaz:
https://doaj.org/article/e6ad8c075bc94c469d1679c7c45b717f