Pinned Repositories
Deep-Learning-Triptolide-ncRNAsequence-target-prediction-model
Organized, categorized and pre-processed the available data of the action site of Triptolide on miRNAs. Developed various deep learning models, including Deep Neural Network (DNN), Recurrent Neural Network (RNN), and Long-Short Time Memory (LSTM). Built a prediction models database based on the binding of Triptolide to miRNA. Compared the training effects of each model and selected the optimal one. Predicted the action site of Triptolide on siRNAs with the optimal trained model.
Predicting-Probability-and-the-Level-of-Dementia-Using-Machine-Learning-Models
Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Clinical Dementia Rating Scale (CDR) is a global rating scale for staging patients diagnosed with dementia. In her project, she is using Cross-Sectional and longitudinal OASIS MRI structural and demographic data to train machine learning models to predict if and at what level an individual has dementia. This problem is formulated as a binary classification problem (CDR = 0 and CDR > 0) and a multiclass problem (CDR = 0, CDR = 0.5, CDR = 1).
Analysis_Stroke_EHR_data
Comparisons-of-HBV-associated-Liver-fibrosis-with-Normal-tissues
Differential-Gene-Expression-profiling-of-female-with-Lobular-carcinoma-and-Infiltrating-duct-carcin
En2Hugo
Join-two-API-s
Margery0011
Config files for my GitHub profile.
ML-projects
PM566-whoami
Yutian_Liu_Margery
Margery0011's Repositories
Margery0011/StorageMonitor
Margery0011/VisiumHD
Margery0011/Margery0011
Config files for my GitHub profile.
Margery0011/SpatialOmicsPaper
Margery0011/Xenium_CSO_Service
Margery0011/Visium_CSO_Service
Margery0011/Research-on-the-correlation-between-functional-human-genes-and-epigenetic-conservation
Margery0011/variancePartition
Margery0011/Differential-Gene-Expression-profiling-of-female-with-Lobular-carcinoma-and-Infiltrating-duct-carcin
Margery0011/Analysis_Stroke_EHR_data
Margery0011/pm566lab
https://margery0011.github.io/pm566lab/
Margery0011/Sarcoma_RF
Margery0011/Deep-Learning-Triptolide-ncRNAsequence-target-prediction-model
Organized, categorized and pre-processed the available data of the action site of Triptolide on miRNAs. Developed various deep learning models, including Deep Neural Network (DNN), Recurrent Neural Network (RNN), and Long-Short Time Memory (LSTM). Built a prediction models database based on the binding of Triptolide to miRNA. Compared the training effects of each model and selected the optimal one. Predicted the action site of Triptolide on siRNAs with the optimal trained model.
Margery0011/ML-projects
Margery0011/PM566-whoami
Yutian_Liu_Margery
Margery0011/Comparisons-of-HBV-associated-Liver-fibrosis-with-Normal-tissues
Margery0011/Predicting-Probability-and-the-Level-of-Dementia-Using-Machine-Learning-Models
Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Clinical Dementia Rating Scale (CDR) is a global rating scale for staging patients diagnosed with dementia. In her project, she is using Cross-Sectional and longitudinal OASIS MRI structural and demographic data to train machine learning models to predict if and at what level an individual has dementia. This problem is formulated as a binary classification problem (CDR = 0 and CDR > 0) and a multiclass problem (CDR = 0, CDR = 0.5, CDR = 1).
Margery0011/Join-two-API-s
Margery0011/En2Hugo
Margery0011/WordCloud