Yan Ren
University of Cincinnati
13 Papers
36 Citations
Yan Ren is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 5, co-authored 9 publications. Previous affiliations of Yan Ren include Cincinnati Children's Hospital Medical Center.
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Papers
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Alexandra B Keenan,Sherry L. Jenkins,Kathleen M. Jagodnik,Simon Koplev,Edward He,Denis Torre,Zichen Wang,Anders B. Dohlman,Moshe C. Silverstein,Alexander Lachmann,Maxim V. Kuleshov,Avi Ma'ayan,Vasileios Stathias,Raymond Terryn,Daniel J. Cooper,Michele Forlin,Amar Koleti,Dusica Vidovic,Caty Chung,Stephan C. Schürer,Jouzas Vasiliauskas,Marcin Pilarczyk,Behrouz Shamsaei,Mehdi Fazel,Yan Ren,Wen Niu,Nicholas A. Clark,Shana White,Naim Al Mahi,Lixia Zhang,Michal Kouril,John F. Reichard,Siva Sivaganesan,Mario Medvedovic,Jaroslaw Meller,Rick J. Koch,Marc R. Birtwistle,Ravi Iyengar,Eric A. Sobie,Evren U. Azeloglu,Julia A. Kaye,Jeannette Osterloh,Kelly Haston,Jaslin Kalra,Steve Finkbiener,Jonathan Z. Li,Pamela Milani,Miriam Adam,Renan Escalante-Chong,Karen Sachs,Alexander LeNail,Divya Ramamoorthy,Ernest Fraenkel,Gavin Daigle,Uzma Hussain,Alyssa Coye,Jeffrey D. Rothstein,Dhruv Sareen,Loren Ornelas,Maria G. Banuelos,Berhan Mandefro,Ritchie Ho,Clive N. Svendsen,Ryan G. Lim,Jennifer Stocksdale,Malcolm Casale,Terri G. Thompson,Jie Wu,Leslie M. Thompson,Victoria Dardov,Vidya Venkatraman,Andrea Matlock,Jennifer E. Van Eyk,Jacob D. Jaffe,Malvina Papanastasiou,Aravind Subramanian,Todd R. Golub,Sean D. Erickson,Mohammad Fallahi-Sichani,Marc Hafner,Nathanael S. Gray,Jia-Ren Lin,Caitlin E. Mills,Jeremy L. Muhlich,Mario Niepel,Caroline E. Shamu,Elizabeth H. Williams,David Wrobel,Peter K. Sorger,Laura M. Heiser,Joe W. Gray,James E. Korkola,Gordon B. Mills,Mark A. LaBarge,Mark A. LaBarge,Heidi S. Feiler,Mark A. Dane,Elmar Bucher,Michel Nederlof,Damir Sudar,Sean M. Gross,David Kilburn,Rebecca Smith,Kaylyn Devlin,Ron Margolis,Leslie Derr,Albert Lee,Ajay Pillai +107 more
TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.
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Connecting omics signatures and revealing biological mechanisms with iLINCS
Marcin Pilarczyk,Mehdi Fazel-Najafabadi,Michal Kouril,Behrouz Shamsaei,Juozas Vasiliauskas,Wen Niu,Naim Al Mahi,Lixia Zhang,Nicholas A. Clark,Yan Ren,Shana White,Rashid Karim,Huan Xu,Jacek Biesiada,Mark F Bennett,Sarah E. Davidson,John F. Reichard,Kurt Roberts,Vasileios Stathias,Amar Koleti,Dusica Vidovic,Daniel J.B. Clarke,Stephan C. Schürer,Avi Ma'ayan,Jaroslaw Meller,Mario Medvedovic +25 more
TL;DR: i et al. as mentioned in this paper presented an integrative web-based platform for analysis of omics data and signatures of cellular perturbations, which facilitates mining and re-analysis of the large collection of omICS datasets, pre-computed signatures, and their connections.
Characterizing maternal glycemic control: a more informative approach using semiparametric regression.
TL;DR: Specific periods of gestation where maternal glucose concentrations differ for the LGA and AGA developing fetus are identified, with greatest distinctions appearing in first and third trimesters.
20
Predicting mechanism of action of cellular perturbations with pathway activity signatures.
Yan Ren,Siva Sivaganesan,Nicholas A. Clark,Lixia Zhang,Jacek Biesiada,Wen Niu,David R. Plas,Mario Medvedovic +7 more
TL;DR: This work has developed a new computational method for implicating pathway targets of bioactive chemicals and other cellular perturbations by integrated analysis of pathway network topology, the LINCS transcriptional signatures of genetic perturbATIONS of pathway genes and the transcriptional signature of the perturbation.
5
Bi‐clustering of medical monitoring data using a non‐parametric hierarchical Bayesian model
Yan Ren,Siva Sivaganesan,Mekibib Altaye,Mekibib Altaye,Raouf S. Amin,Raouf S. Amin,Rhonda D. Szczesniak,Rhonda D. Szczesniak +7 more
- 15 Mar 2020
TL;DR: A biclustering approach is used, allowing simultaneous clustering of observations at both patient and time levels and using a nonparametric hierarchical Bayesian model, to identify clusters of patients who share similar patterns over time and characterize temporal stability within each cluster.
5