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Concept

Exploratory data analysis

Related publications (30)

An Exploratory Study of Reactions to Bot Comments on GitHub

Denis Gillet, Juan Carlos Farah, Sandy Ingram

The widespread use of bots to support software development makes social coding platforms such as GitHub a particularly rich source of data for the study of human-bot interaction. Software development bots are used to automate repetitive tasks, interacting ...

ACM2022

Acetate, a metabolic product of Heligmosomoides polygyrus, facilitates intestinal epithelial barrier breakdown in a FFAR2-dependent manner

Nicola Harris, Mario Michael Zaiss, Lalit Kumar Dubey, Julia Esser-von Bieren, Luc Xavier Marie Lebon

Approximately 2 billion people worldwide and a significant part of the domestic livestock are infected with soil-transmitted helminths, of which many establish chronic infections causing substantial eco-nomic and welfare burdens. Beside intensive research ...

2022

Class I histone deacetylases (HDAC1-3) are histone lysine delactylases

Alexander Lund Nielsen, Carlos Moreno Yruela

Lysine L-lactylation [K(L-la)] is a newly discovered histone mark stimulated under conditions of high glycolysis, such as the Warburg effect. K(L-la) is associated with functions that are different from the widely studied histone acetylation. While K(L-la) ...

2022

Cultural Adaptation, Validation, and Psychometric Description of the Pictorial Empathy Test (PET) in the Spanish Population

Maria del Carmen Sandi Perez

Research in psychology and social neuroscience distinguishes between dispositional and situational empathy for the cognitive and affective aspects of empathy. Yet, the Pictorial Empathy Test (PET) is one of the few brief tests focusing on situational affec ...

HOGREFE PUBLISHING CORP2022

An optimized protocol for assessing changes in mouse whole-brain activity using opto-fMRI

Valerio Zerbi, Christina Maria Grimm

Functional magnetic resonance imaging (fMRI) in mouse brain, paired with spatially and temporally defined manipulations, offers a powerful tool to causally explain the effect of specific neuronal activity on brain network dynamics. Here, we present an opti ...

ELSEVIER2022

Modelling of sawtooth-induced fast ion transport in positive and negative triangularity in TCV

Olivier Sauter, Basil Duval, Duccio Testa, Alexander Karpushov, Mario Ludovico Podesta, Antoine Pierre Emmanuel Alexis Merle, Marcelo Baquero Ruiz, Matteo Vallar, Dmytry Mykytchuk, Lorenzo Stipani

Internal kinks are a common magneto hydro-dynamic (MHD) instability observed in tokamak operation when the q profile in the plasma core is close to unity. This MHD instability impacts both the transport of the bulk plasma (current, particle and energy tran ...

IOP Publishing Ltd2022

A Critical Re-evaluation of Neural Methods for Entity Alignment

Robert West, Akhil Arora, Alberto Garcia Duran

Neural methods have become the de-facto choice for the vast majority of data analysis tasks, and entity alignment (EA) is no exception. Not surprisingly, more than 50 different neural EA methods have been published since 2017. However, surprisingly, an ana ...

ASSOC COMPUTING MACHINERY2022

Supplementary material for "AR-assisted timber drilling with smart retrofitted tools"

Yves Weinand, Julien Gamerro, Andrea Settimi

The dataset contains point clouds from 3D scans, reconstructed 3D data, and statistical data analysis, which are intended as complementary material for the publication "AR-assisted timber drilling with smart retrofitted tools". ...

2021

SIRT7 modulates the stability and activity of the renal K-Cl cotransporter KCC4 through deacetylation

Johan Auwerx, Dongryeol Ryu, Lilia Noriega Lopez

SIRT7 is a NAD(+)-dependent deacetylase that controls important aspects of metabolism, cancer, and bone formation. However, the molecular targets and functions of SIRT7 in the kidney are currently unknown. In silico analysis of kidney transcripts of the BX ...

2021

Holistic, Efficient, and Real-time Cleaning of Heterogeneous Data

Styliani Asimina Giannakopoulou

Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. Existing solutions that attempt to automate t ...

EPFL2021