Network for network concept offers new insights into host-SARS-CoV-2 protein interactions and potential novel targets for developing antiviral drugs
Abstract SARS-CoV-2, the causal agent of COVID-19, is primarily a pulmonary virus that can
directly or indirectly infect several organs. Despite many studies carried out during the …
directly or indirectly infect several organs. Despite many studies carried out during the …
Predicting Parkinson disease related genes based on PyFeat and gradient boosted decision tree
Identifying genes related to Parkinson's disease (PD) is an active research topic in
biomedical analysis, which plays a critical role in diagnosis and treatment. Recently, many …
biomedical analysis, which plays a critical role in diagnosis and treatment. Recently, many …
GANLDA: graph attention network for lncRNA-disease associations prediction
Increasing studies have indicated that long non-coding RNAs (lncRNAs) play important
roles in many physiological and pathological pathways. Identifying lncRNA-disease …
roles in many physiological and pathological pathways. Identifying lncRNA-disease …
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network
Increasing evidences have proved that circRNA plays a significant role in the development
of many diseases. In addition, many researches have shown that circRNA can be …
of many diseases. In addition, many researches have shown that circRNA can be …
LDICDL: LncRNA-disease association identification based on collaborative deep learning
W Lan, D Lai, Q Chen, X Wu, B Chen… - … ACM transactions on …, 2020 - ieeexplore.ieee.org
It has been proved that long noncoding RNA (lncRNA) plays critical roles in many human
diseases. Therefore, inferring associations between lncRNAs and diseases can contribute to …
diseases. Therefore, inferring associations between lncRNAs and diseases can contribute to …
Predicting microRNA-disease associations based on improved microRNA and disease similarities
MicroRNAs (miRNAs) are a type of non-coding RNAs with about~ 22nt nucleotides.
Increasing evidences have shown that miRNAs play critical roles in many human diseases …
Increasing evidences have shown that miRNAs play critical roles in many human diseases …
Integrative bioinformatics approaches to map potential novel genes and pathways involved in ovarian cancer
Background and aims: Ovarian cancer (OC) is the seventh most commonly detected cancer
among women. This study aimed to map the hub and core genes and potential pathways …
among women. This study aimed to map the hub and core genes and potential pathways …
Machine learning prediction and tau-based screening identifies potential Alzheimer's disease genes relevant to immunity
With increased research funding for Alzheimer's disease (AD) and related disorders across
the globe, large amounts of data are being generated. Several studies employed machine …
the globe, large amounts of data are being generated. Several studies employed machine …
United neighborhood closeness centrality and orthology for predicting essential proteins
Identifying essential proteins plays an important role in disease study, drug design, and
understanding the minimal requirement for cellular life. Computational methods for essential …
understanding the minimal requirement for cellular life. Computational methods for essential …
Predicting drug–target interaction using positive-unlabeled learning
Identifying interactions between drug compounds and target proteins is an important
process in drug discovery. It is time-consuming and expensive to determine interactions …
process in drug discovery. It is time-consuming and expensive to determine interactions …