An Introduction to Machine Learning

Molecular subtypes of pancreatic cancer

(2019) Eric A. Collisson et al.   Nature Reviews Gastroenterology & Hepatology

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning

(2019) Imant Daunhawer et al.   PEDIATRIC RESEARCH

Ten quick tips for effective dimensionality reduction

(2019) Lan Huong Nguyen et al.   PLoS Computational Biology

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Dimensionality reduction for visualizing single-cell data using UMAP

(2018) Etienne Becht et al.   NATURE BIOTECHNOLOGY

Drug-target interaction prediction using ensemble learning and dimensionality reduction

(2017) Ali Ezzat et al.   METHODS

Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms

(2016) M Cummins Lancaster et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

The distance function effect on k-nearest neighbor classification for medical datasets

(2016) Li-Yu Hu et al.   SpringerPlus

Integrating alignment-based and alignment-free sequence similarity measures for biological sequence classification

(2015) Ivan Borozan et al.   BIOINFORMATICS

Robust enumeration of cell subsets from tissue expression profiles

(2015) Aaron M Newman et al.   NATURE METHODS

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

(2015) et al.   SCIENCE

Comparing Dosage Adjustment Methods for Once-Daily Tobramycin in Paediatric and Adolescent Patients with Cystic Fibrosis

(2014) Stefanie Hennig et al.   CLINICAL PHARMACOKINETICS

Breast cancer patient stratification using a molecular regularized consensus clustering method

(2014) Chao Wang et al.   METHODS

Coping with Unbalanced Class Data Sets in Oral Absorption Models

(2013) Danielle Newby et al.   Journal of Chemical Information and Modeling

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Data mining reveals a network of early-response genes as a consensus signature of drug-induced in vitro and in vivo toxicity

(2013) J D Zhang et al.   PHARMACOGENOMICS JOURNAL

Predication of plasma concentration of remifentanil based on Elman neural network

(2013) Jing-tian Tang et al.   Journal of Central South University

Nonlinear dimensionality reduction and mapping of compound libraries for drug discovery

(2012) Michael Reutlinger et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

A survey on unsupervised outlier detection in high-dimensional numerical data

(2012) Arthur Zimek et al.   Statistical Analysis and Data Mining

Density-based clustering

(2011) Hans-Peter Kriegel et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Missing data imputation using statistical and machine learning methods in a real breast cancer problem

(2010) José M. Jerez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Prediction of Adverse Drug Reactions Using Decision Tree Modeling

(2010) F Hammann et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Recent insights in the epidemiology of autoimmune diseases: Improved prevalence estimates and understanding of clustering of diseases

(2009) Glinda S. Cooper et al.   JOURNAL OF AUTOIMMUNITY

Improving propensity score weighting using machine learning

(2009) Brian K. Lee et al.   STATISTICS IN MEDICINE

Support Vector Machines and Kernels for Computational Biology

(2008) Asa Ben-Hur et al.   PLoS Computational Biology