Mitchel-collab's Stars
datasciencemasters/go
The Open Source Data Science Masters
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
crazyhottommy/getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
crazyhottommy/RNA-seq-analysis
RNAseq analysis notes from Ming Tang
crazyhottommy/scRNAseq-analysis-notes
scRNAseq analysis notes from Ming Tang
mdozmorov/MachineLearning_notes
Machine learning and deep learning resources
pachterlab/BI-BE-CS-183-2023
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023
BenLangmead/ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
BenLangmead/ads1-slides
Slides for Algorithms for DNA Sequencing Coursera class
tiagoantao/bioinf-python
Python for Bioinformatics
cxli233/SimpleTidy_GeneCoEx
A simple gene co-expression analyses workflow powered by tidyverse and graph analyses
timoast/sinto
Tools for single-cell data processing
mdozmorov/TCGAsurvival
Scripts to analyze TCGA data
ropensci/UCSCXenaTools
:package: An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/
kvittingseerup/IsoformSwitchAnalyzeR
An R package to Identify, Annoatate and Visialize Isoform Switches with Functional Consequences (from RNA-seq data)
mdozmorov/Cancer_notes
A continually expanding collection of cancer genomics notes and data
shubhamjha97/hierarchical-clustering
A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
anabiman/pygran
A DEM toolkit for rapid simulation & quantitative analysis of granular systems
chenlabgccri/CancerTypePrediction
This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".
carpentries-incubator/bioc-intro
Bioconductor data science introduction
DIYtranscriptomics/DIYtranscriptomics.github.io
The website for a semester-long 'do-it-yourself' (DIY) transcriptomics course
JamesMarshall31/design-of-experiments
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
rvlenth/rsm
R package for response-surface methodology
lcolladotor/cshl_rstats_genome_scale_2023
CSHL Statistical Analysis of Genome Scale Data 2023
chenlabgccri/DeepDR
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
vappiah/Transcriptomics
DarkoMedin/cancerclassifier_L
Exemplar project on how to create leukemia cancer classifier using Python and gene expression data via LGBM.
shirotak/GS-PRACTICE
Tumor genomic subtyping tool based on mutational signautures