Yuanfang Guan (Y Guan)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Convolutional Neural Network

Rheumatoid Arthritis Patients

Top Venues

Nature communications

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Communications biology

Genome research

This page only lists publications with an associated author ORCID identifier.

Publications

Kaiwen Deng, Peter S Schwendeman, Yuanfang Guan
Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (15) (2024)
Kaiwen Deng, Peter S Schwendeman, Yuanfang Guan
Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (15) (2024)
Kaiwen Deng, Peter S Schwendeman, Yuanfang Guan
Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (15) (2024)
Kaiwen Deng, Peter S Schwendeman, Yuanfang Guan
Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (15) (2024)
Kaiwen Deng, Peter S Schwendeman, Yuanfang Guan
Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Hanrui Zhang, Julian Kreis, Sven-Eric Schelhorn, Heike Dahmen, Thomas Grombacher, Michael Zühlsdorf, Frank T Zenke, Yuanfang Guan
Mapping combinatorial drug effects to DNA damage response kinase inhibitors. Nature communications 14 (1) (2023)
Hanrui Zhang, Julian Kreis, Sven-Eric Schelhorn, Heike Dahmen, Thomas Grombacher, Michael Zühlsdorf, Frank T Zenke, Yuanfang Guan
Mapping combinatorial drug effects to DNA damage response kinase inhibitors. Nature communications 14 (1) (2023)
Hanrui Zhang, Julian Kreis, Sven-Eric Schelhorn, Heike Dahmen, Thomas Grombacher, Michael Zühlsdorf, Frank T Zenke, Yuanfang Guan
Mapping combinatorial drug effects to DNA damage response kinase inhibitors. Nature communications 14 (1) (2023)
Hanrui Zhang, Ziyan Wang, Yiyang Nan, Bulat Zagidullin, Daiyao Yi, Jing Tang, Yuanfang Guan
Harmonizing across datasets to improve the transferability of drug combination prediction. Communications biology 6 (1) (2023)
Hanrui Zhang, Julian Kreis, Sven-Eric Schelhorn, Heike Dahmen, Thomas Grombacher, Michael Zühlsdorf, Frank T Zenke, Yuanfang Guan
Mapping combinatorial drug effects to DNA damage response kinase inhibitors. Nature communications 14 (1) (2023)
Kaiwen Deng, Yueming Li, Hanrui Zhang, Jian Wang, Roger L Albin, Yuanfang Guan
Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson's disease. Communications biology 5 (1) (2022)
Yuanfang Guan, Ridvan Eksi, Daiyao Yi, Bradley Godfrey, Lisa R Mathew, Christopher L O'Connor, Markus Bitzer, Matthias Kretzler, Rajasree Menon, Yuanfang Guan
Micro-dissection and integration of long and short reads to create a robust catalog of kidney compartment-specific isoforms. PLoS computational biology 18 (4) (2022)
Bo Zhang, Kaiwen Deng, Jie Shen, Lingrui Cai, Bohdana Ratitch, Haoda Fu, Yuanfang Guan
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study. Journal of medical Internet research 24 (3) (2022)
Bulat Zagidullin, Z Wang, Yuanfang Guan, Esa Pitkänen, Jing Tang
Comparative analysis of molecular fingerprints in prediction of drug combination effects. Briefings in bioinformatics 22 (6) (2022)
Yuanfang Guan, Yuanfang Guan
Fast decoding cell type-specific transcription factor binding landscape at single-nucleotide resolution. Genome research 31 (4) (2021)
Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang
A survival model generalized to regression learning algorithms. Nature computational science 1 (6) (2021)
Hongyang Li, Yuanfang Guan
DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal. Communications biology 4 (1) (2021)
Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Yuanfang Guan, Jian-Xin Wang
TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data. Nucleic acids research (2021)
Xin An, Xi Chen, Daiyao Yi, Hongyang Li, Yuanfang Guan
Representation of molecules for drug response prediction. Briefings in bioinformatics (2021)
Yanan Qin, Daiyao Yi, Xianghao Chen, Yuanfang Guan
Deep learning identifies erroneous microarray-based, gene-level conclusions in literature. NAR genomics and bioinformatics 3 (4) (2021)
Solveig K Sieberts, Jennifer Schaff, Marlena Duda, Bálint Ármin Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E Ray Dorsey, Zafer Aydın, Aipeng Chen, Laura L Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M Perumal, Nastaran Mohammadian Rad, Erin E Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, null null, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M Mangravite, Larsson Omberg
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. NPJ digital medicine 4 (1) (2021)
Xueqing Wang, Yuanfang Guan
COVID-19 drug repurposing: A review of computational screening methods, clinical trials, and protein interaction assays. Medicinal research reviews 41 (1) (2020)
Yao Xiao, Xueqing Wang, Hongjiu Zhang, Peter J Ulintz, Hongyang Li, Yuanfang Guan
FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples. Nature communications 11 (1) (2020)
Shaocheng Wu, Hongyang Li, Daniel Quang, Yuanfang Guan
Three-Plane-assembled Deep Learning Segmentation of Gliomas. Radiology. Artificial intelligence 2 (2) (2020)
Yuanfang Guan, Hongjiu Zhang, Daniel Quang, Ziyan Wang, Stephen C J Parker, Dimitrios A Pappas, Joel M Kremer, Fan Zhu
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers. Arthritis & rheumatology (Hoboken, N.J.) 71 (12) (2019)
Yuanfang Guan, Daniel Quang, Yuanfang Guan
Anchor: trans-cell type prediction of transcription factor binding sites. Genome research 29 (2) (2018)
Andreas Keller, Richard C Gerkin, Yuanfang Guan, Amit Dhurandhar, Gábor Turu, Bence Szalai, Joel D Mainland, Yusuke Ihara, Chung Wen Yu, Russell D Wolfinger, Celine Vens, Leander Schietgat, Kurt De Grave, Raquel Norel, null null, Gustavo Stolovitzky, Guillermo A Cecchi, Leslie B Vosshall, Pablo Meyer
Predicting human olfactory perception from chemical features of odor molecules. Science (New York, N.Y.) 355 (6327) (2017)