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100-days-of-ml-code

100-Days-Of-ML-Code中文版

celldiscov_scatac_rnaseq_renaltumor

Single-cell multi-omics analysis reveals regulatory programs in clear cell renal cell carcinoma

clusterprofiler

:bar_chart: A universal enrichment tool for interpreting omics data

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

integrated_examination_of_ten_subjects_wmu

Integrated_Examation_Of_Ten_Subjects_WMU

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

natcommun_crc_scrnaseq

Single-cell and spatial analysis reveal interaction of FAP+ fibroblasts and SPP1+ macrophages in colorectal cancer

natcommun_irls

Machine learning-based integrative analysis develops an immune-derived lncRNA signature for improving clinical outcomes in colorectal cancer

natcommun_netbio

Network-based machine learning approach to predict immunotherapy response in cancer patients

nomogram

precily

Gene expression based inference of cancer drug sensitivity

readme

README文件语法解读，即Github Flavored Markdown语法介绍

scp_0.5.1

An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

seurat-wrappers_v4

Community-provided extensions to Seurat