Slides and files for a talk I gave at NUS on 2012-08-30
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Updated
Sep 1, 2012
Slides and files for a talk I gave at NUS on 2012-08-30
MSM model of SH2-phosphoprotein cancer networks
Source code associated with "Leveraging global gene expression patterns to predict expression of unmeasured genes"
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
Elevation and Cancer Incidence
Human disease network based on GWAS loci
Using Machine Learning to Identify Glioblastoma patients with NF1 inactivation
iPython notebook using sklearn to predict breast cancer using logistic regression
Consultoria em análise de dados para Rodrigo Cardoso (Mestrado Profissional INTO, 2016)
Matlab functions to support analysis of digital pathology images.
今日のYahoo占いのかに座♋の運勢をSlackに投稿するやつ
Helping cancer patients find a second opinion anywhere in the US within seconds.
Predict breast cancer using machine learning in Python. Step by step tutorial.
A networking app for cancer afflicted patients
Fuzzy expert system to evaluate the risk of developing a liver primary cancer
Project to study proliferation and metabolic liabilities across several thousand cancer samples.
HDLSS analysis of gene expression data for predicting cancer. Classification of cats & dogs. Generation of text using LSTM.
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