Advances in Biomedical Missing Data Imputation: A Survey

M Barrabés, M Perera, VN Moriano, X Giró-I-Nieto… - IEEE …, 2024 - ieeexplore.ieee.org
Ensuring data quality in biomedical sciences is crucial for reliable research outcomes,
particularly as precision medicine continues to gain prominence. Missing values …

Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments

E Casiraghi, D Malchiodi, G Trucco, M Frasca… - Ieee …, 2020 - ieeexplore.ieee.org
Between January and October of 2020, the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic …

Prediction of bite number and herbage intake by an accelerometer-based system in dairy sheep exposed to different forages during short-term grazing tests

V Giovanetti, R Cossu, G Molle, M Acciaro… - … and electronics in …, 2020 - Elsevier
The accurate estimation of herbage intake is a key to adequately feed grazing ruminants.
Ten dairy Sarda sheep fitted with a halter equipped with an accelerometer (BEHARUM …

The development of genomics applied to dairy breeding

MVB Silva, DJA dos Santos, SA Boison… - Livestock Science, 2014 - Elsevier
Genomic selection (GS) has profoundly changed dairy cattle breeding in the last decade
and can be defined as the use of genomic breeding values (GEBV) in selection programs …

[HTML][HTML] Complex data imputation by auto-encoders and convolutional neural networks—A case study on genome gap-filling

L Cappelletti, T Fontana, GW Di Donato, L Di Tucci… - Computers, 2020 - mdpi.com
Missing data imputation has been a hot topic in the past decade, and many state-of-the-art
works have been presented to propose novel, interesting solutions that have been applied …

Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans

A Xavier, WM Muir, KM Rainey - BMC bioinformatics, 2016 - Springer
Background Success in genome-wide association studies and marker-assisted selection
depends on good phenotypic and genotypic data. The more complete this data is, the more …

Imputation of non-genotyped individuals using genotyped progeny in Nellore, a Bos indicus cattle breed

SA Boison, HHR Neves, AMP O'Brien, YT Utsunomiya… - Livestock Science, 2014 - Elsevier
This study aimed at imputing non (un)-genotyped sires using a stepwise imputation
approach that combines identity by descent (IBD) detection methods with other imputation …

Multivariate and Genome-Wide Analysis of Mid-Infrared Spectra of Non-Coagulating Milk of Sarda Sheep Breed

G Gaspa, F Correddu, A Cesarani, M Congiu… - Frontiers in Animal …, 2022 - frontiersin.org
Milk coagulation ability is crucial for the dairy sheep industry since the whole amount of milk
is processed into cheese. Non-coagulating milk (NCM) is defined as milk not forming a curd …

[PDF][PDF] Milk production of sarda suckler cows with different calving period

M Acciaro, C Dimauro, V Giovanetti… - … and Technology A, 2020 - davidpublisher.com
The study explored the relationship between the performance of calves and calving season
in a Mediterranean rangeland-based beef livestock system. Twenty multiparous Sarda cows …

Relationships among ensiling, nutritional, fermentative, microbiological traits and Clostridium tyrobutyricum contamination in corn silages addressed with partial least …

A Gallo, D Bassi, R Esposito, M Moschini… - Journal of Animal …, 2016 - academic.oup.com
The objective of this work was to reduce the predictor dimensionality and to develop a model
able to forecast Clostridium tyrobutyricum contamination in corn silages. A survey on 33 …