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Sijia Huang
Sijia Huang
Bioinformatician, University of Pennsylvania
Verified email at pennmedicine.upenn.edu
Title
Cited by
Cited by
Year
More is better: recent progress in multi-omics data integration methods
S Huang, K Chaudhary, LX Garmire
Frontiers in genetics 8, 268903, 2017
6432017
Power analysis and sample size estimation for RNA-Seq differential expression
T Ching, S Huang, LX Garmire
Rna 20 (11), 1684-1696, 2014
2632014
Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis
S Huang, N Chong, NE Lewis, W Jia, G Xie, LX Garmire
Genome medicine 8, 1-14, 2016
1362016
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
OB Poirion, Z Jing, K Chaudhary, S Huang, LX Garmire
Genome medicine 13, 1-15, 2021
1132021
Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization
L Lu, S McCurdy, S Huang, X Zhu, K Peplowska, M Tiirikainen, ...
Scientific reports 6 (1), 37446, 2016
882016
A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer
S Huang, C Yee, T Ching, H Yu, LX Garmire
PLoS computational biology 10 (9), e1003851, 2014
812014
Using single-cell multiple omics approaches to resolve tumor heterogeneity
MA Ortega, O Poirion, X Zhu, S Huang, TK Wolfgruber, R Sebra, ...
Clinical and translational medicine 6, 1-16, 2017
732017
Using epigenomics data to predict gene expression in lung cancer
J Li, T Ching, S Huang, LX Garmire
BMC bioinformatics 16, 1-12, 2015
682015
Multimodal meta-analysis of 1,494 hepatocellular carcinoma samples reveals significant impact of consensus driver genes on phenotypes
K Chaudhary, OB Poirion, L Lu, S Huang, T Ching, LX Garmire
Clinical Cancer Research 25 (2), 463-472, 2019
472019
Pan-cancer analyses reveal long intergenic non-coding RNAs relevant to tumor diagnosis, subtyping and prognosis
T Ching, K Peplowska, S Huang, X Zhu, Y Shen, J Molnar, H Yu, ...
EBioMedicine 7, 62-72, 2016
352016
Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data
FM AlAkwaa, B Yunits, S Huang, H Alhajaji, LX Garmire
Gigascience 7 (12), giy136, 2018
322018
Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer
R Wei, I De Vivo, S Huang, X Zhu, H Risch, JH Moore, H Yu, LX Garmire
Oncotarget 7 (34), 55249, 2016
192016
More is better: recent progress in multi-omics data integration methods. Front Genet. 2017; 8: 84
S Huang, K Chaudhary, LX Garmire
Epub 2017/07/04. https://doi. org/10.3389/fgene. 2017.00084 PMID: 28670325, 2017
152017
Multi-omics-based pan-cancer prognosis prediction using an ensemble of deep-learning and machine-learning models
OB Poirion, K Chaudhary, S Huang, LX Garmire
medRxiv, 19010082, 2020
92020
A nomogram derived by combination of demographic and biomarker data improves the noninvasive evaluation of patients at risk for bladder cancer
S Huang, L Kou, H Furuya, C Yu, S Goodison, MW Kattan, L Garmire, ...
Cancer Epidemiology, Biomarkers & Prevention 25 (9), 1361-1366, 2016
92016
Integration of spatial and single-cell data across modalities with weakly linked features
S Chen, B Zhu, S Huang, JW Hickey, KZ Lin, M Snyder, WJ Greenleaf, ...
Nature Biotechnology, 1-11, 2023
72023
Single cell and spatial alternative splicing analysis with long read sequencing
Y Fu, H Kim, JI Adams, SM Grimes, S Huang, BT Lau, A Sathe, P Hess, ...
Research Square, 2023
22023
Mettl3-catalyzed m6A regulates histone modifier and modification expression in self-renewing somatic tissue
AM Maldonado López, EK Ko, S Huang, G Pacella, N Kuprasertkul, ...
Science Advances 9 (35), eadg5234, 2023
12023
METTL3 maintains epithelial homeostasis through m6A-dependent regulation of chromatin modifiers
AM Maldonado López, S Huang, G Pacella, EK Ko, H Shen, J Stoute, ...
bioRxiv, 2022.12. 14.520484, 2022
12022
Signal recovery in single cell batch integration
Z Zhang, D Mathew, T Lim, K Mason, CM Martinez, S Huang, EJ Wherry, ...
bioRxiv, 2023
2023
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