Search Results - "Yuanfang Guan"

COVID‐19 drug repurposing: A review of computational screening methods, clinical trials, and protein interaction assays by Wang, Xueqing, Guan, Yuanfang

“…The situation of coronavirus disease 2019 (COVID‐19) pandemic is rapidly evolving, and medical researchers around the globe are dedicated to finding cures for…”
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miRmine: a database of human miRNA expression profiles by Panwar, Bharat, Omenn, Gilbert S, Guan, Yuanfang

“…MicroRNAs (miRNAs) are small non-coding RNAs that are involved in post-transcriptional regulation of gene expression. In this high-throughput sequencing era, a…”
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DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal by Li, Hongyang, Guan, Yuanfang

“…Sleep arousals are transient periods of wakefulness punctuated into sleep. Excessive sleep arousals are associated with symptoms such as sympathetic…”
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FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples by Xiao, Yao, Wang, Xueqing, Zhang, Hongjiu, Ulintz, Peter J., Li, Hongyang, Guan, Yuanfang

“…Dissecting tumor heterogeneity is a key to understanding the complex mechanisms underlying drug resistance in cancers. The rich literature of pioneering…”
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging by Al'Aref, Subhi J, Anchouche, Khalil, Singh, Gurpreet, Slomka, Piotr J, Kolli, Kranthi K, Kumar, Amit, Pandey, Mohit, Maliakal, Gabriel, van Rosendael, Alexander R, Beecy, Ashley N, Berman, Daniel S, Leipsic, Jonathan, Nieman, Koen, Andreini, Daniele, Pontone, Gianluca, Schoepf, U Joseph, Shaw, Leslee J, Chang, Hyuk-Jae, Narula, Jagat, Bax, Jeroen J, Guan, Yuanfang, Min, James K

“…Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire…”
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Waking up to data challenges by Guan, Yuanfang

“…Yuanfang Guan explains how taking part in data challenges has helped her learn new analytical techniques and creatively apply them on a variety of datasets…”
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Machine Learning to Predict Anti–Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers by Guan, Yuanfang, Zhang, Hongjiu, Quang, Daniel, Wang, Ziyan, Parker, Stephen C. J., Pappas, Dimitrios A., Kremer, Joel M., Zhu, Fan

“…Objective Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection…”
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Asymmetric predictive relationships across histone modifications by Li, Hongyang, Guan, Yuanfang

“…Decoding the epigenomic landscapes in diverse tissues and cell types is fundamental to understanding molecular mechanisms underlying many essential cellular…”
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Joint learning improves protein abundance prediction in cancers by Li, Hongyang, Siddiqui, Omer, Zhang, Hongjiu, Guan, Yuanfang

“…The classic central dogma in biology is the information flow from DNA to mRNA to protein, yet complicated regulatory mechanisms underlying protein translation…”
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Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens by Lu, James, Deng, Kaiwen, Zhang, Xinyuan, Liu, Gengbo, Guan, Yuanfang

“…Forecasting pharmacokinetics (PK) for individual patients is a fundamental problem in clinical pharmacology. One key challenge is that PK models constructed…”
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Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling by Lu, James, Bender, Brendan, Jin, Jin Y., Guan, Yuanfang

“…Longitudinal analyses of patient response time courses following doses of therapeutics are currently performed using pharmacokinetic/pharmacodynamic (PK/PD)…”
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Graph2GO: a multi-modal attributed network embedding method for inferring protein functions by Fan, Kunjie, Guan, Yuanfang, Zhang, Yan

“…Abstract Background Identifying protein functions is important for many biological applications. Since experimental functional characterization of proteins is…”
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Re-evaluating experimental validation in the Big Data Era: a conceptual argument by Jafari, Mohieddin, Guan, Yuanfang, Wedge, David C, Ansari-Pour, Naser

“…In the above-mentioned example, we know that cancer is a genetic disease with abnormal cell proliferation where the number of cells is increased by one upon…”
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Multilevel Modeling of Joint Damage in Rheumatoid Arthritis by Li, Hongyang, Guan, Yuanfang

“…While most deep learning approaches are developed for single images, in real‐world applications, images are often obtained as a series to inform…”
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Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study by Zhang, Bo, Deng, Kaiwen, Shen, Jie, Cai, Lingrui, Ratitch, Bohdana, Fu, Haoda, Guan, Yuanfang

“…Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of…”
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Mapping combinatorial drug effects to DNA damage response kinase inhibitors by Zhang, Hanrui, Kreis, Julian, Schelhorn, Sven-Eric, Dahmen, Heike, Grombacher, Thomas, Zühlsdorf, Michael, Zenke, Frank T., Guan, Yuanfang

“…One fundamental principle that underlies various cancer treatments, such as traditional chemotherapy and radiotherapy, involves the induction of catastrophic…”
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Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model by Deng, Kaiwen, Schwendeman, Peter S., Guan, Yuanfang

“…Modeling neuron responses to stimuli can shed light on next‐generation technologies such as brain‐chip interfaces. Furthermore, high‐performing models can…”
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Micro-dissection and integration of long and short reads to create a robust catalog of kidney compartment-specific isoforms by Li, Hongyang, Eksi, Ridvan, Yi, Daiyao, Godfrey, Bradley, Mathew, Lisa R, O'Connor, Christopher L, Bitzer, Markus, Kretzler, Matthias, Menon, Rajasree, Guan, Yuanfang

“…Studying isoform expression at the microscopic level has always been a challenging task. A classical example is kidney, where glomerular and…”
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Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures by Rai, Vivek, Quang, Daniel X., Erdos, Michael R., Cusanovich, Darren A., Daza, Riza M., Narisu, Narisu, Zou, Luli S., Didion, John P., Guan, Yuanfang, Shendure, Jay, Parker, Stephen C.J., Collins, Francis S.

“…Type 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels…”
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Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data by Eksi, Ridvan, Li, Hong-Dong, Menon, Rajasree, Wen, Yuchen, Omenn, Gilbert S, Kretzler, Matthias, Guan, Yuanfang

“…Integrating large-scale functional genomic data has significantly accelerated our understanding of gene functions. However, no algorithm has been developed to…”
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