MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification
Advanced Intelligent Systems, EarlyView.We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson +4 more
wiley +1 more source
DeepCPP: A Deep Learning‐Based Framework for Enhanced Prediction of Cell Penetrating Peptides
Advanced Intelligent Systems, EarlyView.DeepCPP is a multimodal deep learning framework designed to improve the identification of cell‐penetrating peptides. By integrating sequence‐derived evolutionary information with structural graph representations through a dual‐encoder architecture and fusion strategy, the model captures complementary molecular features.
Soualihou Ngnamsie Njimbouom +2 more
wiley +1 more source
AI‐Based Mitochondrial Network Characterization as a Biomarker for DNM1L‐Related Disease Diagnosis
Advanced Intelligent Systems, EarlyView.This work provides proof‐of‐concept that AI‐based analysis of mitochondrial network morphology in patient‐derived fibroblasts can identify a phenotypic signature associated with DNM1L deficiency. This automated approach may ultimately provide a complementary functional readout for the interpretation of novel DNM1L variants following genetic testing ...
Uliana Musokhranova +9 more
wiley +1 more source
Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM) [PDF]
Asian Pac J Cancer Prev, 2019 R D S, A S.
europepmc +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley +1 more source
Cancer in Systemic Sclerosis: Clinical Associations and Prognostic Impact From the EUSTAR Registry
Arthritis &Rheumatology, EarlyView.Objective Cancer represents a major cause of death in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti‐RNA polymerase III (POLR3)–positive disease, needing further exploration. Methods We performed a nested case‐control study within the European Scleroderma Trials and Research group ...
Antonio Tonutti +52 more
wiley +1 more source
Active Contour Based Segmentation and Classification for Pleura Diseases Based on Otsu’s Thresholding and Support Vector Machine (SVM) [PDF]
Asian Pac J Cancer Prev, 2019 Malathi M, Sinthia P, Jalaldeen K.
europepmc +1 more source
Principal Component‐Based Classification of Blazar Candidates of Uncertain Type in the 4FGL/LAT
Astronomische Nachrichten, EarlyView.ABSTRACT We adopted principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machines (SVM), to study classification for a sample of 2708 Fermi blazars: 1142 BL Lac objects (BLLs), 759 flat spectrum radio quasars (FSRQs), and 807 blazar candidates of uncertain type (BCUs).
Wen‐Xin Yang +13 more
wiley +1 more source
A Hybrid Mechanistic Model Capturing Lactate Run‐Away and Back‐Metabolism in Mammalian Cell Culture
Biotechnology and Bioengineering, EarlyView.ABSTRACT Mechanistic modeling is important in biopharmaceutical manufacturing by enabling in‐silico experimentation. However, developing a robust mechanistic model for mammalian cell culture remains challenging due to the complexity of the underlying bioprocesses.
Li Qin +4 more
wiley +1 more source
Evaluating the evolutionary relationship of TATA binding protein (TBP) with various folding patterns of protein domains using support vector machine (SVM). [PDF]
Sci RepSelvaraj MK, Kaur J.
europepmc +1 more source