margery0011 Goto Github PK

analysis_stroke_ehr_data

comparisons-of-hbv-associated-liver-fibrosis-with-normal-tissues

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.

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

pm566lab

https://margery0011.github.io/pm566lab/

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).

research-on-the-correlation-between-functional-human-genes-and-epigenetic-conservation

sarcoma_rf

spatialomicspaper

variancepartition

visium_cso_service

wordcloud

xenium_cso_service