Results 71 to 80 of about 523,896 (324)
Evidence-Based Detection of Pancreatic Canc [PDF]
, 2020 This study is an effort to develop a tool for early detection of pancreatic cancer using evidential reasoning. An evidential reasoning model predicts the likelihood of an individual developing pancreatic cancer by processing the outputs of a Support ...
Chandratre, Rajeshwari Deepak
core +1 more source
In silico Gene Characterization and biological annotation of Aspergillus niger CBS 513.88 [PDF]
, 2011 Genome annotation is the process of estimation of biological features from genomic data. The target of a genome annotation is to identify the key features of the genome sequence particularly, the genes and gene products.
Anuraj Nayarisseri +5 more
core +2 more sources
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
Correction to: Predicting the accuracy of genomic predictions [PDF]
Genetics Selection Evolution, 2021 Jack C. M. Dekkers +2 more
openaire +3 more sources
Enhancing Genomic Prediction Accuracy in Beef Cattle Using WMGBLUP and SNP Pre-Selection
AgricultureGenomic selection (GS) plays a crucial role in livestock breeding. However, its implementation in Chinese beef cattle breeding is constrained by a limited reference population and incomplete data records.
Huqiong Zhao +10 more
doaj +1 more source
The effect of genomic information on optimal contribution selection in livestock breeding programs [PDF]
, 2013 BACKGROUND: Long-term benefits in animal breeding programs require that increases in genetic merit be balanced with the need to maintain diversity (lost due to inbreeding). This can be achieved by using optimal contribution selection. The availability of
Clark, Samuel A +3 more
core +2 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Prognostic and Predictive Implications of Cytogenetics and Genomics
Hematology/Oncology Clinics of North America, 2021 Chronic lymphocytic leukemia (CLL) is characterized by extreme genomic heterogeneity. Numerous recurrent genetic abnormalities are associated with dismal clinical outcome in patients treated with chemo(immuno)therapy, with aberrations of the TP53 gene being the main genomic abnormalities that dictate treatment choice.
Ljungström, Viktor +1 more
openaire +3 more sources
Survival prediction from clinico-genomic models - a comparative study
BMC Bioinformatics, 2009 Background Survival prediction from high-dimensional genomic data is an active field in today's medical research. Most of the proposed prediction methods make use of genomic data alone without considering established clinical covariates that often are ...
Nygård Ståle +2 more
doaj +1 more source
Predicting Pancreatic Cancer Using Support Vector Machine [PDF]
, 2017 This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core +1 more source