Proceedings of the Critical Assessment of Massive Data Analysis (CAMDA) Satellite Meeting to ISMB 2018

In this topical collection (10 articles)

1. Research

   Environmental metagenome classification for constructing a microbiome fingerprint

   Jolanta Kawulok, Michal Kawulok, Sebastian Deorowicz Article:20

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2. Research

   Fingerprinting cities: differentiating subway microbiome functionality

   Chengsheng Zhu, Maximilian Miller, Nick Lusskin, Yannick Mahlich… Article:19

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3. Research

   Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples

   Carlos S. Casimiro-Soriguer, Carlos Loucera, Javier Perez Florido… Article:15

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4. Research

   Application of machine learning techniques for creating urban microbial fingerprints

   Feargal Joseph Ryan Article:13

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5. Research

   Massive metagenomic data analysis using abundance-based machine learning

   Zachary N. Harris, Eliza Dhungel, Matthew Mosior, Tae-Hyuk Ahn Article:12

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6. Research

   Identification of city specific important bacterial signature for the MetaSUB CAMDA challenge microbiome data

   Alejandro R. Walker, Susmita Datta Article:11

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7. Research

   Associating expression and genomic data using co-occurrence measures

   Maarten Larmuseau, Lieven P. C. Verbeke, Kathleen Marchal Article:10

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8. Research

   Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies

   So Yeon Kim, Hyun-Hwan Jeong, Jaesik Kim, Jeong-Hyeon Moon, Kyung-Ah Sohn Article:8

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9. Research

   Predictability of drug-induced liver injury by machine learning

   Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman… Article:3

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10. Research

    Diverse approaches to predicting drug-induced liver injury using gene-expression profiles

    G. Rex Sumsion, Michael S. Bradshaw III, Jeremy T. Beales, Emi Ford… Article:1

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