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13-machine-learning-models

Six machine learning models for predicting bladder cancer progression using Caret package

22976001

Analysis for the paper "piRNAs warrant investigation in Rett Syndrome: an omics perspective"

agfusion

Python package to annotate and visualize gene fusions.

analysis-pipeline-for-pirna

The bash-based pipeline for analyzing PIWI-interacting RNA

artofstatistics

Code for 'The Art of Statistics'

atacseq

ATAC-seq peak-calling, QC and differential analysis pipeline

autophagy-in-cancer

autophagy in cancer

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

bc-and-m6a

bed2_summary

get smallRNAseq summary in piclusters, transposons and genes from bed2 files generated by piPipes or other softwares

biochat

Natural language processing of Gene Expression Omnibus data

bioinfohub

bioinformatics-algorithms

bioinformatics-one-liners

Bioinformatics one liners from Ming Tang

bioinformatics-project

生物信息学项目实践仓库🏆🥇

biostar-tutorials

Code for biostar tutorials - mostly R and Perl

blasso

Integrating LASSO and bootstrapping algorithm to find best prognostic or predictive biomarkers

bmzuc_cleavage

code of piRNA sequence analysis

brca_lowstage_dmgrs

The repository stores the analytical code for the pre-release of the manuscript titled "Tumor subtype and cell type independent DNA methylation alternations reveals twelve genes associated with low stage breast carcinoma".

breast-cancer-diagnostic-classification

In this project, I experimented with various machine learning algorithms on a dataset from Breast Cancer Wisconsin (Diagnostic) Data available on UCI repository and kaggle. This dataset provides various features along with a target variable of diagnosis. I learned how different machine learning techniques can be applied to find the patterns in the data and classify the tumor as benign or malignant. Through this project, I gained a lot of experience in data wrangling, feature engineering and machine learning algorithms, and compare the results obtained on different ML models based on accuracy and ROC-AUC.

breastcancer_apop-auto

Scripts for an on-going project on the analysis of the interelationships between apoptotic and autophagic pathways in breast cancer.

breastcancerdemo

Precessing SEER incidence data with R

ca-parkinsons

Cluster analysis of Parkinson's disease

cancer_study

癌症相关学习内容

cancerevolution

cancermirnome

CancerMIRNome - an interactive analysis and visualization database for miRNome profiles of human cancer

cdev-paper

cfmedip_pca

Analyses for Manuscrip "The cell free DNA methylome captures distinctions between localized and metastatic“ prostate tumors

chip-seq-analysis

ChIP-seq analysis notes from Ming Tang

circcode

A Python3-base pipeline for translated circular RNA(circRNA) identification