热门出版物 - 学术资源搜索

h5 指数:26
h5 中位数:54

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

#20 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATION. P Danaee, R Ghaeini, DA Hendrix Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 219-229	270	2017
Data-driven advice for applying machine learning to bioinformatics problems. RS Olson, W Cava, Z Mustahsan, A Varik, JH Moore Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 192-203	220	2018
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. GP Way, CS Greene Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 80-91	165	2018
MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS. BK Beaulieu-Jones, JH Moore Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 207-218	145	2017
PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. K Shameer, KW Johnson, A Yahi, R Miotto, LI Li, D Ricks, J Jebakaran, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 276-287	126	2017
DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKS. J Lanchantin, R Singh, B Wang, Y Qi Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 254-265	123	2017
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. AL Beam, B Kompa, A Schmaltz, I Fried, G Weber, N Palmer, X Shi, T Cai, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25, 295-306	98	2020
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY. WA Haynes, F Vallania, C Liu, E Bongen, A Tomczak, M Andres-Terrè, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 144-153	78	2017
CheXclusion: Fairness gaps in deep chest X-ray classifiers. L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 26, 232-243	78	2021
Large-scale analysis of disease pathways in the human interactome. M Agrawal, M Zitnik, J Leskovec Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 111-122	72	2018
Automated disease cohort selection using word embeddings from Electronic Health Records. BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 145-156	65	2018
MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks. L Han, MR Kamdar Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 331-342	61	2018
Improving the explainability of Random Forest classifier-user centered approach. D Petkovic, R Altman, M Wong, A Vigil Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 204-215	55	2018
An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. HH Jeong, HK Yalamanchili, C Guo, JM Shulman, Z Liu Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 168-179	53	2018
Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. Q Hu, CS Greene Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 24, 362-373	48	2019
Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database. BK Beaulieu-Jones, P Orzechowski, JH Moore Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 123-132	43	2018
A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases. DN Sosa, A Derry, M Guo, E Wei, C Brinton, RB Altman Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25, 463-474	40	2020
Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline. BM Adhikari, N Jahanshad, D Shukla, DC Glahn, J Blangero, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 307-318	38	2018
PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data. J Hao, SC Kosaraju, NZ Tsaku, DH Song, M Kang Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25, 355-366	37	2020
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. A Orlenko, JH Moore, P Orzechowski, RS Olson, J Cairns, PJ Caraballo, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 23, 460-471	33	2018

1 - 20

计算机程序会自动估算并确定日期和引用次数。