Suchergebnisse - "Briefings in bioinformatics"

BioGPT: generative pre-trained transformer for biomedical text generation and mining von Luo, Renqian, Sun, Liai, Xia, Yingce, Qin, Tao, Zhang, Sheng, Poon, Hoifung, Liu, Tie-Yan

“… Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language …”
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oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data von Maeser, Danielle, Gruener, Robert F, Huang, Rong Stephanie

“… Cell line drug screening datasets can be utilized for a range of different drug discovery applications from drug biomarker discovery to building translational …”
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Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine von Zhang, Peng, Zhang, Dingfan, Zhou, Wuai, Wang, Lan, Wang, Boyang, Zhang, Tingyu, Li, Shao

“… Network pharmacology (NP) provides a new methodological perspective for understanding traditional medicine from a holistic perspective, giving rise to …”
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MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization von Katoh, Kazutaka, Rozewicki, John, Yamada, Kazunori D

“… Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in …”
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Opportunities and challenges for ChatGPT and large language models in biomedicine and health von Tian, Shubo, Jin, Qiao, Yeganova, Lana, Lai, Po-Ting, Zhu, Qingqing, Chen, Xiuying, Yang, Yifan, Chen, Qingyu, Kim, Won, Comeau, Donald C, Islamaj, Rezarta, Kapoor, Aadit, Gao, Xin, Lu, Zhiyong

“… ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has …”
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A review on longitudinal data analysis with random forest von Hu, Jianchang, Szymczak, Silke

“… Abstract In longitudinal studies variables are measured repeatedly over time, leading to clustered and correlated observations. If the goal of the study is to …”
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Multimodal deep learning for biomedical data fusion: a review von Stahlschmidt, Sören Richard, Ulfenborg, Benjamin, Synnergren, Jane

“… Abstract Biomedical data are becoming increasingly multimodal and thereby capture the underlying complex relationships among biological processes. Deep …”
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GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels von Liu, Chun-Jie, Hu, Fei-Fei, Xie, Gui-Yan, Miao, Ya-Ru, Li, Xin-Wen, Zeng, Yan, Guo, An-Yuan

“… Abstract Cancer initiation and progression are likely caused by the dysregulation of biological pathways. Gene set analysis (GSA) could improve the …”
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Deep learning for healthcare: review, opportunities and challenges von Miotto, Riccardo, Wang, Fei, Wang, Shuang, Jiang, Xiaoqian, Dudley, Joel T

“… Abstract Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming …”
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Utilizing graph machine learning within drug discovery and development von Gaudelet, Thomas, Day, Ben, Jamasb, Arian R, Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B R, Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L, Bronstein, Michael M, Taylor-King, Jake P

“… Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular …”
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Current challenges and best-practice protocols for microbiome analysis von Bharti, Richa, Grimm, Dominik G

“… Abstract Analyzing the microbiome of diverse species and environments using next-generation sequencing techniques has significantly enhanced our understanding …”
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LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files von Dong, Shan-Shan, He, Wei-Ming, Ji, Jing-Jing, Zhang, Chi, Guo, Yan, Yang, Tie-Lin

“… Abstract The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous …”
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NetCoMi: network construction and comparison for microbiome data in R von Peschel, Stefanie, Müller, Christian L, von Mutius, Erika, Boulesteix, Anne-Laure, Depner, Martin

“… Abstract Motivation Estimating microbial association networks from high-throughput sequencing data is a common exploratory data analysis approach aiming at …”
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The BioCyc collection of microbial genomes and metabolic pathways von Karp, Peter D, Billington, Richard, Caspi, Ron, Fulcher, Carol A, Latendresse, Mario, Kothari, Anamika, Keseler, Ingrid M, Krummenacker, Markus, Midford, Peter E, Ong, Quang, Ong, Wai Kit, Paley, Suzanne M, Subhraveti, Pallavi

“… Abstract BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported …”
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Machine learning approaches and databases for prediction of drug–target interaction: a survey paper von Bagherian, Maryam, Sabeti, Elyas, Wang, Kai, Sartor, Maureen A, Nikolovska-Coleska, Zaneta, Najarian, Kayvan

“… Abstract The task of predicting the interactions between drugs and targets plays a key role in the process of drug discovery. There is a need to develop novel …”
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Predicting drug–disease associations through layer attention graph convolutional network von Yu, Zhouxin, Huang, Feng, Zhao, Xiaohan, Xiao, Wenjie, Zhang, Wen

“… Abstract Background: Determining drug–disease associations is an integral part in the process of drug development. However, the identification of drug–disease …”
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Sensitivity and specificity of information criteria von Dziak, John J, Coffman, Donna L, Lanza, Stephanie T, Li, Runze, Jermiin, Lars S

“… Abstract Information criteria (ICs) based on penalized likelihood, such as Akaike’s information criterion (AIC), the Bayesian information criterion (BIC) and …”
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Trends in the development of miRNA bioinformatics tools von Chen, Liang, Heikkinen, Liisa, Wang, Changliang, Yang, Yang, Sun, Huiyan, Wong, Garry

“… Abstract MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression via recognition of cognate sequences and interference of transcriptional, …”
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Graph convolutional networks for computational drug development and discovery von Sun, Mengying, Zhao, Sendong, Gilvary, Coryandar, Elemento, Olivier, Zhou, Jiayu, Wang, Fei

“… Abstract Despite the fact that deep learning has achieved remarkable success in various domains over the past decade, its application in molecular informatics …”
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Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization von Li, Jianfeng, Miao, Benben, Wang, Shixiang, Dong, Wei, Xu, Houshi, Si, Chenchen, Wang, Wei, Duan, Songqi, Lou, Jiacheng, Bao, Zhiwei, Zeng, Hailuan, Yang, Zengzeng, Cheng, Wenyan, Zhao, Fei, Zeng, Jianming, Liu, Xue-Song, Wu, Renxie, Shen, Yang, Chen, Zhu, Chen, Saijuan, Wang, Mingjie

“… Abstract Complex biomedical data generated during clinical, omics and mechanism-based experiments have increasingly been exploited through cloud- and …”
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