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Preprocessing

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

Markus Goldstein, Seiichi Uchida

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

Paul J. McMurdie, Susan Holmes

REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

Xiao-Wei Song, Zhang-Ye Dong, [ ... ], Yu-Feng Zang

Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data

Vasilis Dakos, Stephen R. Carpenter, [ ... ], Marten Scheffer

Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods

Chao Chen, Kay Grennan, [ ... ], Chunyu Liu

Personality Is Reflected in the Brain's Intrinsic Functional Architecture

Jonathan S. Adelstein, Zarrar Shehzad, [ ... ], Michael P. Milham

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Oscar Esteban, Daniel Birman, [ ... ], Krzysztof J. Gorgolewski

Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R

Ani Eloyan, Shanshan Li, [ ... ], Brian S. Caffo

InMAP: A model for air pollution interventions

Christopher W. Tessum, Jason D. Hill, Julian D. Marshall

Sequencing Degraded RNA Addressed by 3' Tag Counting

Benjamín Sigurgeirsson, Olof Emanuelsson, Joakim Lundeberg

A Linear Model for Transcription Factor Binding Affinity Prediction in Protein Binding Microarrays

Matti Annala, Kirsti Laurila, Harri Lähdesmäki, Matti Nykter

The influence of preprocessing on text classification using a bag-of-words representation

Yaakov HaCohen-Kerner, Daniel Miller, Yair Yigal

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