Pinned Repositories
CancerSEEKv1
R code for the algorithm used in Cohen et al. Science 2018 "Detection and localization of surgically resectable cancers with a multi-analyte blood test", Science 2018, 359(6378):926-930.
conta
Conta is an R package to detect cross contamination and source of contamination
Coursera-Statistics-One--R
Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepCAT
Deep Learning Method to Identify Cancer Associated TCRs
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
RadioGKB
Radiation Genomics Knowledgebase
codeunsolved's Repositories
codeunsolved/RadioGKB
Radiation Genomics Knowledgebase
codeunsolved/CancerSEEKv1
R code for the algorithm used in Cohen et al. Science 2018 "Detection and localization of surgically resectable cancers with a multi-analyte blood test", Science 2018, 359(6378):926-930.
codeunsolved/conta
Conta is an R package to detect cross contamination and source of contamination
codeunsolved/Coursera-Statistics-One--R
Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
codeunsolved/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
codeunsolved/DeepCAT
Deep Learning Method to Identify Cancer Associated TCRs
codeunsolved/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
codeunsolved/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
codeunsolved/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
codeunsolved/Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
codeunsolved/mutalyzer
HGVS variant nomenclature checker
codeunsolved/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
codeunsolved/go-common
哔哩哔哩 bilibili 网站后台工程 源码
codeunsolved/pysam
Pysam is a Python module for reading and manipulating SAM/BAM/VCF/BCF files. It's a lightweight wrapper of the htslib C-API, the same one that powers samtools, bcftools, and tabix.
codeunsolved/rmrb
人民日报（1946-2003)
codeunsolved/SafeSeqS
Python pipeline for analysis of SafeSeqS DNA sequencing data.
codeunsolved/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
codeunsolved/ThinkBayes
Code repository for Think Bayes.
codeunsolved/utils