NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings
Abstract The Network of Cancer Genes (NCG, http://ncg. kcl. ac. uk/) is a manually curated
repository of cancer genes derived from the scientific literature. Due to the increasing …
repository of cancer genes derived from the scientific literature. Due to the increasing …
Identification of infectious disease-associated host genes using machine learning techniques
Background With the global spread of multidrug resistance in pathogenic microbes,
infectious diseases emerge as a key public health concern of the recent time. Identification …
infectious diseases emerge as a key public health concern of the recent time. Identification …
Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes
Background Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder
commonly characterized by short term memory loss. Presently no effective therapeutic …
commonly characterized by short term memory loss. Presently no effective therapeutic …
Mutations in the IRBIT domain of ITPR1 are a frequent cause of autosomal dominant nonprogressive congenital ataxia
S Barresi, M Niceta, P Alfieri, V Brankovic… - Clinical …, 2017 - Wiley Online Library
Congenital ataxias are nonprogressive neurological disorders characterized by neonatal
hypotonia, developmental delay and ataxia, variably associated with intellectual disability …
hypotonia, developmental delay and ataxia, variably associated with intellectual disability …
Protein–protein interaction network with machine learning models and multiomics data reveal potential neurodegenerative disease-related proteins
Research of protein–protein interaction in several model organisms is accumulating since
the development of high-throughput experimental technologies and computational methods …
the development of high-throughput experimental technologies and computational methods …
AlzGenPred: A CatBoost based method using network features to classify the Alzheimers Disease associated genes from the high throughput sequencing data
Background and Objective: AD is a progressive neurodegenerative disorder characterized
by memory loss. Due to the advancement in next-generation sequencing technologies, an …
by memory loss. Due to the advancement in next-generation sequencing technologies, an …
Identification of Novel Inhibitors and Biomarkers for Alzheimer's Disease using Computational Systems Polypharmacology and Machine Learning Approach
R Shukla, TR Singh - 2022 - ir.juit.ac.in
The current research is focused on the management of the pathophysiology of the
Alzheimer's Disease (AD). The AD is a neurological irreversible disease characterized by …
Alzheimer's Disease (AD). The AD is a neurological irreversible disease characterized by …
Annotation of Five Genes in the DNA Mismatch Repair Pathway of Kytococcus Sedentarius
JM Gawron - 2014 - dspace.sunyconnect.suny.edu
Abstract Annotation of Five Genes in DNA Mismatch Repair Pathway of Kytococcus
Sedentarius Joseph M. Gawron, Rama Dey-Rao, Ph. D., Stephen T. Koury, Ph. D …
Sedentarius Joseph M. Gawron, Rama Dey-Rao, Ph. D., Stephen T. Koury, Ph. D …