Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
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Updated
Dec 11, 2017 - C++
Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
R Project for the data analysis & manuscript of CamIO ICCHP20 paper
MATH1015 Biostatistics 编程辅导, Code Help, Wechat: powcoder, CS tutor, powcoder@163.com
CHR-2022 data was used to analyze factors impacting mental health in five Great Lakes states.
In this lab we will perform a differential expression analysis starting from scratch. Doxorubicin is a commonly prescribed cancer drug, but one of its side effects is cardiotoxicity. This drug damages heart cells by binding to the protein topoisomerase-II beta, or Top2b.
Heart Disease Prediction Machine Learning Project
R Package for modeling flexible net survival
Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.
STAT 2131 (Applied Statistical Method 1) Course Final Project at Pitt in 2023 Fall.
tool to analyze tree measurements and calculate metrics like diameter growth and forest increase in individual trees and different species and plots.
Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.
My internship at the IBEAS lab
The program can accomplish the fundamental functions of BLAST and bowtie on NCBI web site.
Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera
Data analysis related to biostatistics project implemented in SAS to investigate the android/gynoid ratio (data hidden)
Ongoing Project: "Transplant wait time prediction" IPBA, IIM Indore.
Miscellaneous code for CUNY Biostatistics I
Used R to analyze an academic article on the association between having a skin disease and developing a psychological disorder. Looked at odds ratios, corrected for missing data, and replicated their logistic regression model for classification purposes. I also conducted a 20 minute presentation of my findings to a class of graduate students.
Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application
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