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Machine learning

TFpredict and SABINE: Sequence-Based Prediction of Structural and Functional Characteristics of Transcription Factors

Johannes Eichner, Florian Topf, [ ... ], Andreas Zell

ReliefSeq: A Gene-Wise Adaptive-K Nearest-Neighbor Feature Selection Tool for Finding Gene-Gene Interactions and Main Effects in mRNA-Seq Gene Expression Data

Brett A. McKinney, Bill C. White, [ ... ], Ann L. Oberg

Analyzing Kernel Matrices for the Identification of Differentially Expressed Genes

Xiao-Lei Xia, Huanlai Xing, Xueqin Liu

Bayesian Networks for Clinical Decision Support in Lung Cancer Care

M. Berkan Sesen, Ann E. Nicholson, [ ... ], Michael Brady

Machine Learning for Automatic Prediction of the Quality of Electrophysiological Recordings

Thomas Nowotny, Jean-Pierre Rospars, [ ... ], Sylvia Anton

A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status

Meysam Bastani, Larissa Vos, [ ... ], Russell Greiner

Real-Time fMRI Pattern Decoding and Neurofeedback Using FRIEND: An FSL-Integrated BCI Toolbox

João R. Sato, Rodrigo Basilio, [ ... ], Jorge Moll

Dynamic Artificial Neural Networks with Affective Systems

Catherine D. Schuman, J. Douglas Birdwell

A Novel Approach for Prediction of Vitamin D Status Using Support Vector Regression

Shuyu Guo, Robyn M. Lucas, Anne-Louise Ponsonby, the Ausimmune Investigator Group

Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness

Yvonne Höller, Jürgen Bergmann, [ ... ], Eugen Trinka

A Machine Learning Approach to Automated Structural Network Analysis: Application to Neonatal Encephalopathy

Etay Ziv, Olga Tymofiyeva, [ ... ], Duan Xu

miRNA Signatures in Sera of Patients with Active Pulmonary Tuberculosis

Paolo Miotto, Grace Mwangoka, [ ... ], Daniela M. Cirillo

Darwin’s Duchenne: Eye Constriction during Infant Joy and Distress

Whitney I. Mattson, Jeffrey F. Cohn, [ ... ], Daniel S. Messinger

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