Explanipedia

Tirzepatide Improved Health-Related Quality of Life Compared with Insulin Lispro in Basal Insulin-Treated Adults with Type 2 Diabetes and Inadequate Glycaemic Control: A Randomised Controlled Phase 3b Trial (SURPASS-6) Open

Kristina S. Boye, Jiat Ling Poon, Laura Fernández Landó, Hélène Sapin, Ruth Huh , et al. · 2024

Tirzepatide vs Insulin Lispro Added to Basal Insulin in Type 2 Diabetes Open

Julio Rosenstock, Juan P. Frías, Helena W. Rodbard, Santiago Tofé, E. Sears , et al. · 2023

Importance Tirzepatide is a glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist used for the treatment of type 2 diabetes. Efficacy and safety of adding tirzepatide vs prandial insulin to treatment in …

Time to Reach Glycaemic and Body Weight Loss Thresholds with Tirzepatide in Patients with Type 2 Diabetes: A Pre-planned Exploratory Analysis of SURPASS-2 and SURPASS-3 Open

Adie Viljoen, Kevin M. Pantalone, Rodolfo J. Galindo, Xuewei Cui, Ruth Huh , et al. · 2023

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data Open

Bryce Rowland, Ruth Huh, Zoey Hou, Cheynna Crowley, Jia Wen , et al. · 2022

Hi-C data provide population averaged estimates of three-dimensional chromatin contacts across cell types and states in bulk samples. Effective analysis of Hi-C data entails controlling for the potential confounding factor of differential …

Effect of Subcutaneous Tirzepatide vs Placebo Added to Titrated Insulin Glargine on Glycemic Control in Patients With Type 2 Diabetes Open

Dominik Dahl, Yukiko Onishi, Paul Norwood, Ruth Huh, Ross Bray , et al. · 2022

ClinicalTrials.gov Identifier: NCT04039503.

Author Correction: Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia Open

Matthew Halvorsen, Ruth Huh, Nikolay Oskolkov, Jia Wen, Sergiu Netotea , et al. · 2022

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data Open

Bryce Rowland, Ruth Huh, Zoey Hou, Cheynna Crowley, Jia Wen , et al. · 2022

Hi-C data provide population averaged estimates of three-dimensional chromatin contacts across cell types and states in bulk samples. Effective analysis of Hi-C data entails controlling for the potential confounding factor of differential …

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data Open

Bryce Rowland, Ruth Huh, Zoe Hou, Jia Wen, Yin Shen , et al. · 2020

Hi-C data provide population averaged estimates of three-dimensional chromatin contacts across cell types and states in bulk samples. Effective analysis of Hi-C data entails controlling for the potential confounding factor of differential …

Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia Open

Matthew Halvorsen, Ruth Huh, Nikolay Oskolkov, Jia Wen, Sergiu Netotea , et al. · 2020

SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble Open

Ruth Huh, Yuchen Yang, Yuchao Jiang, Yin Shen, Yun Li · 2019

Clustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel met…

SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble Open

Ruth Huh, Yuchen Yang, Yuchao Jiang, Yin Shen, Yun Li · 2019

Clustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel met…

SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data Open

Yuchen Yang, Ruth Huh, Houston Culpepper, Yuan Lin, Michael I. Love , et al. · 2018

Motivation Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different …

Accuracy of Predictions of Patients With Breast Cancer of Future Well-being After Immediate Breast Reconstruction Open

Clara Nan-hi Lee, Michael Pignone, Allison M. Deal, Lillian Burdick Blizard, Caprice Hunt , et al. · 2018

Patients underestimated future well-being after mastectomy and overestimated well-being after reconstruction. Misprediction was associated with regret. Decision support for breast reconstruction should address expectations about well-being.

SAFE-clustering: Single-cell Aggregated (From Ensemble) Clustering for Single-cell RNA-seq Data Open

Yuchen Yang, Ruth Huh, Houston Culpepper, Yuan Lin, Michael I. Love , et al. · 2017

Motivation Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different …

Quality of Patient Decisions About Breast Reconstruction After Mastectomy Open

Clara Nan-hi Lee, Allison M. Deal, Ruth Huh, Peter A. Ubel, Yuen-Jong Liu , et al. · 2017

A minority of patients undergoing mastectomy in a single academic center made a high-quality decision about reconstruction. Shared decision making is needed to support decisions about breast reconstruction.

Stream-dependent development of higher visual cortical areas Open

Ikuko T. Smith, L. B. TOWNSEND, Ruth Huh, Hongtu Zhu, Spencer L. Smith · 2017

Stream-dependent development of higher visual cortical areas Open

Ikuko T. Smith, L. B. TOWNSEND, Ruth Huh, Hongtu Zhu, Spencer L. Smith · 2017

Multiple cortical areas contribute to visual processing in mice. However, the functional organization and development of higher visual areas are unclear. Here, we used intrinsic signal optical imaging and 2-photon calcium imaging to map vi…

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