- A Deep Learning Model for Cancer Type Prediction Sets a New ...🔍
- Deep|Learning Model for Tumor|Type Prediction Using Targeted ...🔍
- A Novel Deep Learning Approach for Accurate Cancer Type and ...🔍
- A deep learning model predicts the presence of diverse cancer ...🔍
- Development of a deep learning model for cancer diagnosis by ...🔍
- A new approach for cancer prediction based on deep neural learning🔍
- Convolutional neural network models for cancer type prediction ...🔍
- Machine learning applications in cancer prognosis and prediction🔍
A Deep Learning Model for Cancer Type Prediction Sets a New ...
A Deep Learning Model for Cancer Type Prediction Sets a New ...
A new tool that uses information from a clinical sequencing panel to diagnose tumor type, and show that the model is particularly robust.
Deep-Learning Model for Tumor-Type Prediction Using Targeted ...
We use genomic features from a data set of 39,787 solid tumors sequenced using a clinically targeted cancer gene panel to develop Genome-Derived-Diagnosis ...
A Deep Learning Model for Cancer Type Prediction Sets a New ...
Summary: Classifying tumor types using machine learning approaches is not always trivial, particularly for challenging cases such as cancers of unknown ...
A Novel Deep Learning Approach for Accurate Cancer Type and ...
... model confidence. Moreover, individually, KNN achieved 97.14% accuracy for the Lymphoma class using PCA. This study not only sets a new ...
A deep learning model predicts the presence of diverse cancer ...
We demonstrate that our automated, robust DL framework (DNNraw) more accurately indicates the presence of multiple cancer types using the CTC gene expression ...
Development of a deep learning model for cancer diagnosis by ...
... learning approach that models rankings of cfDNA end-motifs. We include 4606 samples subjected to different types of cfDNA sequencing to ...
A new approach for cancer prediction based on deep neural learning
The five cancer datasets are used in experiments to predict how well the suggested model will perform. The dataset is divided into two parts: training sets, ...
Convolutional neural network models for cancer type prediction ...
Precise prediction of cancer types is vital for cancer diagnosis and therapy. Through a predictive model, important cancer marker genes can ...
Machine learning applications in cancer prognosis and prediction
In the Holdout method, the data samples are partitioned into two separate sets, namely the training and the test sets. A classification model is then generated ...
Deep learning for cancer type classification and driver gene ...
Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their ...
Enhancing cancer stage prediction through hybrid deep neural ...
This study introduces an innovative approach for predicting early and late-stage cancers by integrating hybrid deep neural networks.
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A ...
[133] applied interpretable DL models to classify skin cancers in a histopathological setting. They studied three types of cancers basal ...
The Application of Deep Learning in Cancer Prognosis Prediction
A well trained model can therefore be used to predict new unlabeled data. Deep learning is a branch of machine learning, and therefore inherits some common ...
A Deep Learning-based Multi-model Ensemble Method for Cancer ...
The test results indicate that it increases the prediction accuracy of cancer for all the tested RNA-seq data sets as compared to using a single classifier or ...
XOmiVAE: an interpretable deep learning model for cancer ...
Larger Shapley values, therefore, represent more important genes for the prediction of certain tumour type. ... A total of 21 tumour types had gene sets found in ...
A transformer-based deep learning model for early prediction of ...
However, previous studies primarily reported lymph node metastasis (LNM) in patients with gastric cancer after radical gastrectomy rather than ...
Deep Learning Model for Tumor Type Prediction using Targeted ...
Deep Learning Model for Tumor Type Prediction using Targeted Clinical Genomic Sequencing Data. Madison Darmofal, Shalabh Suman, Gurnit Atwal, ...
Applications and Techniques of Machine Learning in Cancer ...
Once trained, the model can be employed to predict outcomes for new data points. ... stage, prior to data analysis and machine learning model ...
Development and Validation of a Deep Learning Model for Non ...
Comparison of TNM Stage and DeepSurv Model for Survival Prediction in Test Data Sets ... cancer: Cox models vs deep-learning model. Am J ...
A Deep Learning Framework for Predicting Response to Therapy in ...
sets on The Cancer Genome Atlas (TCGA) available for two drugs ... (LUAD), and only one cancer type for paclitaxel, breast cancer. (BRCA).