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h5 指数:102
h5 中位数:137

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#2 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization K Katoh, J Rozewicki, KD Yamada Briefings in Bioinformatics 20 (4), 1160-1166	4758	2019
Deep learning for healthcare: review, opportunities and challenges R Miotto, F Wang, S Wang, X Jiang, JT Dudley Briefings in Bioinformatics 19 (6), 1236-1246	1958	2018
Gene co-expression analysis for functional classification and gene–disease predictions S van Dam, U Võsa, A van der Graaf, L Franke, JP de Magalhães Briefings in Bioinformatics 19 (4), 575-592	862	2018
Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences C Manzoni, DA Kia, J Vandrovcova, J Hardy, NW Wood, PA Lewis, ... Briefings in Bioinformatics 19 (2), 286-302	592	2018
The BioCyc collection of microbial genomes and metabolic pathways PD Karp, R Billington, R Caspi, CA Fulcher, M Latendresse, A Kothari, ... Briefings in Bioinformatics 20 (4), 1085-1093	561	2019
MicroRNAs and complex diseases: from experimental results to computational models X Chen, D Xie, Q Zhao, ZH You Briefings in Bioinformatics 20 (2), 515-539	458	2019
A review of methods and databases for metagenomic classification and assembly FP Breitwieser, J Lu, SL Salzberg Briefings in Bioinformatics 20 (4), 1125-1136	457	2019
Circular RNA identification based on multiple seed matching Y Gao, J Zhang, F Zhao Briefings in Bioinformatics 19 (5), 803-810	434	2018
A review on machine learning principles for multi-view biological data integration Y Li, FX Wu, A Ngom Briefings in Bioinformatics 19 (2), 325-340	397	2018
Evaluation of variable selection methods for random forests and omics data sets F Degenhardt, S Seifert, S Szymczak Briefings in Bioinformatics 20 (2), 492-503	389	2019
Trends in the development of miRNA bioinformatics tools L Chen, L Heikkinen, C Wang, Y Yang, H Sun, G Wong Briefings in Bioinformatics 20 (5), 1836-1852	375	2019
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases AS Rifaioglu, H Atas, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan Briefings in Bioinformatics 20 (5), 1878-1912	323	2019
Computational pan-genomics: status, promises and challenges Briefings in Bioinformatics 19 (1), 118-135	286	2018
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, Y Zhu, ... Briefings in Bioinformatics 21 (3), 1047-1057	277	2020
BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches B Liu Briefings in Bioinformatics 20 (4), 1280-1294	269	2019
Current challenges and best-practice protocols for microbiome analysis R Bharti, DG Grimm Briefings in Bioinformatics 22 (1), 178-193	264	2021
Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions C Evans, J Hardin, DM Stoebel Briefings in Bioinformatics 19 (5), 776-792	258	2018
Graph convolutional networks for computational drug development and discovery M Sun, S Zhao, C Gilvary, O Elemento, J Zhou, F Wang Briefings in Bioinformatics 21 (3), 919-935	250	2020
A review of connectivity map and computational approaches in pharmacogenomics A Musa, LS Ghoraie, SD Zhang, G Glazko, O Yli-Harja, M Dehmer, ... Briefings in Bioinformatics 19 (3), 506-523	249	2018
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data J Yan, SL Risacher, L Shen, AJ Saykin Briefings in Bioinformatics 19 (6), 1370-1381	246	2018

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