Results 51 to 60 of about 1,347,746 (312)

Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data

BMC Genomics, 2022
Background Structural variants (SVs) play a crucial role in gene regulation, trait association, and disease in humans. SV genotyping has been extensively applied in genomics research and clinical diagnosis.
Xiaoke Duan, Mingpei Pan, Shaohua Fan
doaj   +1 more source

F1—Score of Phishtank and Crawler dataset.

, 2021
F1—Score of Phishtank and Crawler dataset.
Ashit Kumar Dutta (11547381)
core   +1 more source

Comparative Studies of Intelligent Algorithms for Enhancing Machine Learning Training in Diabetes Prediction

Algerian Journal of Signals and Systems
This The objective of this study is to compare the effectiveness of various intelligent algorithms in enhancing machine learning training for predicting diabetes from patient data.
Lakhdari Lahcen
doaj   +1 more source

ROCker Models for Reliable Detection and Typing of Short-Read Sequences Carrying β-Lactamase Genes

mSystems, 2022
Identification of genes encoding β-lactamases (BLs) from short-read sequences remains challenging due to the high frequency of shared amino acid functional domains and motifs in proteins encoded by BL genes and related non-BL gene sequences. Divergent BL
Si-Yu Zhang, Brittany Suttner, Luis M. Rodriguez-R, Luis H. Orellana, Roth E. Conrad, Fang Liu, Jessica L. Rowell, Hattie E. Webb, Amanda J. Williams-Newkirk, Andrew Huang, Konstantinos T. Konstantinidis   +10 more
doaj   +1 more source

F1-score of each method for each target organism and superfamily.

, 2018
F1-score of each method for each target organism and superfamily.
Jan Ramon (1964194), Ricardo Cerri (5131208), Carlos N. Fischer (5131211), Celine Vens (5131205), Eduardo Costa (590559), Claudia M. A. Carareto (482131), Hendrik Blockeel (5131202), Leander Schietgat (1964191)   +7 more
core   +1 more source

F1-scores across all compression rates for all datasets and landcover types using PCA, KPCA, ICA AE and DAE methods.

, 2022
This figure also includes precision, recall and f1 score for all datasets and landcover types when using RGB data for pixel classification.
Yuhong He (845522), Faisal Z. Qureshi (13046830), Kiran Mantripragada (68214), Phuong D. Dao (13046827)   +3 more
core   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

A new approach for diabetes risk detection using quadratic interpolation flower pollination neural network

Applied Computer Science
This study aims to evaluate and compare five algorithms in diabetes detection, namely Flower Pollination Neural Network (FPNN), Particle Swarm Optimization Neural Network (PSONN), Bat Artificial Neural Network (BANN), Stochastic Gradient Descent (SGD ...
Yulianto Triwahyuadi POLLY, Adriana FANGGIDAE, Juan Rizky Mannuel LEDOH, Clarissa Elfira AMOS PAH, Bertha S. DJAHI, Kisan Emiliano Rape TUPEN   +5 more
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Modified Alexnet Architecture for Classification of Cassava Based on Leaf Images

JOIV: International Journal on Informatics Visualization
The objective of this study is to address the drawbacks of conventional classification approaches through the implementation of deep learning, specifically a modified AlexNet.
Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail, Efi Neo Wati, Mohamad Syafwan Arshad, Taufik Gusman   +5 more
doaj   +1 more source