关注
Natalie Sauerwald
Natalie Sauerwald
Flatiron Institute
在 flatironinstitute.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
Quantifying the similarity of topological domains across normal and cancer human cell types
N Sauerwald, C Kingsford
Bioinformatics 34 (13), i475-i483, 2018
462018
Analysis of the structural variability of topologically associated domains as revealed by Hi-C
N Sauerwald, A Singhal, C Kingsford
NAR genomics and bioinformatics 2 (1), lqz008, 2020
372020
Asymptomatic SARS-CoV-2 infection is associated with higher levels of serum IL-17C, matrix metalloproteinase 10 and fibroblast growth factors than mild symptomatic COVID-19
A Soares-Schanoski, N Sauerwald, CW Goforth, S Periasamy, DL Weir, ...
Frontiers in Immunology 13, 821730, 2022
362022
Chromosomal dynamics predicted by an elastic network model explains genome-wide accessibility and long-range couplings
N Sauerwald, S Zhang, C Kingsford, I Bahar
Nucleic acids research 45 (7), 3663-3673, 2017
292017
Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection
N Sauerwald, Z Zhang, I Ramos, VD Nair, A Soares-Schanoski, Y Ge, ...
Cell Systems 13 (11), 924-931. e4, 2022
92022
dNEMO: a tool for quantification of mRNA and punctate structures in time-lapse images of single cells
GJ Kowalczyk, JA Cruz, Y Guo, Q Zhang, N Sauerwald, REC Lee
bioRxiv, 855213, 2019
82019
Topological data analysis reveals principles of chromosome structure throughout cellular differentiation
N Sauerwald, Y Shen, C Kingsford
bioRxiv, 540716, 2019
52019
Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease
Z Zhang, N Sauerwald, A Cappuccio, I Ramos, VD Nair, G Nudelman, ...
Cell Reports Methods 3 (2), 2023
42023
Topological data analysis reveals principles of chromosome structure in cellular differentiation
N Sauerwald, Y Shen, C Kingsford
19th International Workshop on Algorithms in Bioinformatics (WABI 2019), 2019
42019
Capturing the complexity of topologically associating domains through multi-feature optimization
N Sauerwald, C Kingsford
bioRxiv, 2021.01. 04.425264, 2021
32021
Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs
A Litman, N Sauerwald, LAG Snyder, J Foss-Feig, CY Park, Y Hao, ...
medRxiv, 2024
2024
Algorithms for the study of chromosomal structure variability
N Sauerwald
2020
A statistical nonparametric method for identifying consistently important features across samples
N Sauerwald, C Kingsford
bioRxiv, 833624, 2019
2019
Theses by Author
A ALAVI, S BANG, TE BUCK, SA CHOWDHURY, LP COELHO, ...
AHMED, Amr CMU-CB-09-101 ALAVI, Amir CMU-CB-21-102 ARNOLD, Andrew CMU-CB-09-101 BANG, Seojin CMU-CB-20-100
TE BUCK, SA CHOWDHURY, LP COELHO, W COHEN, RE CURTIS, ...
CMU-CB-20-102 Algorithms for the study of chromosomal structure variability
N Sauerwald
Supplementary Information for “Analysis of the structural variability of topologically associated domains as revealed by Hi-C”
N Sauerwald, A Singhal, C Kingsford
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