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Advances in Biomedical Missing Data Imputation: A Survey
Ensuring data quality in biomedical sciences is crucial for reliable research outcomes,
particularly as precision medicine continues to gain prominence. Missing values …
particularly as precision medicine continues to gain prominence. Missing values …
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments
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 …
(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 …
Ten dairy Sarda sheep fitted with a halter equipped with an accelerometer (BEHARUM …
The development of genomics applied to dairy breeding
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
able to forecast Clostridium tyrobutyricum contamination in corn silages. A survey on 33 …