Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Figure S4: Ancestry Accuracy Differentials from Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data

Domain:

healthcare

Record type:

paper
Creator:
MadShaGurMic
Host:avatar

(A) Overall proportion of all annotated ancestries across the training set (left) and testing set (right). Numbers over each bar indicate total within each category. EUR, European; ADM, Admixed; EAS, East Asian; AFR, African; SAS, South Asian; NAM, Native American (B) High-confidence proportion (left) and accuracy (right) for European (EUR), East Asian (EAS), African (AFR) and South Asian (SAS) compared to the overall high-confidence proportion and accuracy across the test set. P-values from a two-sided Fisher's exact test comparing the proportions of these metrics to the overall distribution per ancestry are shown above each bar.

Visit

figshare.com

Tags

CancerMolecular and Cellular BiologyCancer Detection and DiagnosisMethods and TechnologyBiomarkersDiagnostic biomarkersGenetic biomarkersComputational MethodsArtificial intelligence & machine learningGenome Biology

Licenses

CC BY

Similar

Braint Tumor Classification & Segmentation Model Using Deep Learning Approachmahami7/Loan-Default-Prediction-Model-Using-Deep-LearningDeep Learning Approach to Estimate the Maize Yield Prediction Using Data From CameroonWord Sequence Prediction Model for the Tigrigna Language Using a Deep Learning ApproachMachine Learning and Deep Learning Approaches for Optimal Solar Panel Tilt Angle Prediction Using Meteorological Data from Kano, NigeriaDeep Learning Model For The Prediction of Covid-19

Braint Tumor Classification & Segmentation Model Using Deep Learning Approach

Cancer is one of the most dangerous diseases in the world. The brain tumor is one type of
cancer

mahami7/Loan-Default-Prediction-Model-Using-Deep-Learning

A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge

Deep Learning Approach to Estimate the Maize Yield Prediction Using Data From Cameroon

Corn cultivation plays a crucial role in the Cameroon's food production, providing an important sour

Word Sequence Prediction Model for the Tigrigna Language Using a Deep Learning Approach

This research explores the development of a word sequence prediction model for the Tigrigna language

Machine Learning and Deep Learning Approaches for Optimal Solar Panel Tilt Angle Prediction Using Meteorological Data from Kano, Nigeria

The energy yield of photovoltaic installations depends critically on panel orientation, yet most in

Deep Learning Model For The Prediction of Covid-19

Deep Learning Model For The Prediction of Covid-19

Poster presented at the Deep Learning Indaba 2023 by CHEUTEU TAZOPAP JOSEPH ROMARIC