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Source-to-sink transport processes of fluvial sediments in the South China Sea

Earth-science reviews, 2016-02, Vol.153, p.238-273

2016

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Scale-based normalization of spectral data

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.135

Randolph, Timothy W

2006

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Genomic approach to biomarker identification and its recent applications

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.103

He, Yudong D

2006

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Validation of pharmacogenomic biomarker classifiers for treatment selection

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.89

Simon, Richard

2006

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Non-invasive imaging of carcinogen-induced early neoplasia using ultrahigh-resolution optical coherence tomography

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.163

2006

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Comparing adaptive and non-adaptive algorithms for cancer early detection with novel biomarkers

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.151

2006

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A measure of the performance of biomarkers for disease

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.145

Saunders, Ian W

2006

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Building and validating a prognostic index for biomarker studies

Cancer biomarkers : section A of Disease markers, 2006, Vol.2 (3-4), p.97

2006

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SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features

Nucleic acids research, 2016-06, Vol.44 (10), p.e91

2016

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Model to Determine Risk of Pancreatic Cancer in Patients With New-Onset Diabetes

Gastroenterology (New York, N.Y. 1943), 2018-09, Vol.155 (3), p.730-739.e3

2018

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Toxicity of Ionic Liquids

Clean : soil, air, water, 2007-02, Vol.35 (1), p.42-48

2007

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Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction

Bioinformatics, 2021-12, Vol.37 (24), p.4771-4778

2021

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Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

Computational and structural biotechnology journal, 2020-01, Vol.18, p.153-161

2020

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hCKSAAP_UbSite: Improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties

Biochimica et biophysica acta, 2013-08, Vol.1834 (8), p.1461-1467

2013

Volltextzugriff (PDF)

Isolation of SARS-CoV-2-related coronavirus from Malayan pangolins

Nature (London), 2020-07, Vol.583 (7815), p.286-289

2020

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Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau

Ecological indicators, 2024-09, Vol.166, p.112507, Article 112507

2024

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Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features

Briefings in bioinformatics, 2015-07, Vol.16 (4), p.640-657

2015

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Machine-Learning-Based Predictor of Human–Bacteria Protein–Protein Interactions by Incorporating Comprehensive Host-Network Properties

Journal of proteome research, 2019-05, Vol.18 (5), p.2195-2205

2019

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HVIDB: a comprehensive database for human–virus protein–protein interactions

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.832-844

2021

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The MERS-CoV Receptor DPP4 as a Candidate Binding Target of the SARS-CoV-2 Spike

iScience, 2020-06, Vol.23 (6), p.101160-101160, Article 101160

2020

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Personalized statistical learning algorithms to improve the early detection of cancer using longitudinal biomarkers

Cancer biomarkers : section A of Disease markers, 2022-01, Vol.33 (2), p.199

2022

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ASTool: An Easy-to-Use Tool to Accurately Identify Alternative Splicing Events from Plant RNA-Seq Data

International journal of molecular sciences, 2022-04, Vol.23 (8), p.4079

2022

Volltextzugriff (PDF)

International Liver Cancer Association (ILCA) White Paper on Biomarker Development for Hepatocellular Carcinoma

Gastroenterology (New York, N.Y. 1943), 2021-06, Vol.160 (7), p.2572-2584

2021

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AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information

Frontiers in immunology, 2022-12, Vol.13, p.1053617-1053617

2022

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Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

JNCI : Journal of the National Cancer Institute, 2008-10, Vol.100 (20), p.1432-1438

2008

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Source-to-sink transport processes of fluvial sediments in the South China Sea

Scale-based normalization of spectral data

Genomic approach to biomarker identification and its recent applications

Validation of pharmacogenomic biomarker classifiers for treatment selection

Non-invasive imaging of carcinogen-induced early neoplasia using ultrahigh-resolution optical coherence tomography

Comparing adaptive and non-adaptive algorithms for cancer early detection with novel biomarkers

A measure of the performance of biomarkers for disease

Building and validating a prognostic index for biomarker studies

SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features

Model to Determine Risk of Pancreatic Cancer in Patients With New-Onset Diabetes

Toxicity of Ionic Liquids

Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction

Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

hCKSAAP_UbSite: Improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties

Isolation of SARS-CoV-2-related coronavirus from Malayan pangolins

Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau

Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features

Machine-Learning-Based Predictor of Human–Bacteria Protein–Protein Interactions by Incorporating Comprehensive Host-Network Properties

HVIDB: a comprehensive database for human–virus protein–protein interactions

The MERS-CoV Receptor DPP4 as a Candidate Binding Target of the SARS-CoV-2 Spike

Personalized statistical learning algorithms to improve the early detection of cancer using longitudinal biomarkers

ASTool: An Easy-to-Use Tool to Accurately Identify Alternative Splicing Events from Plant RNA-Seq Data

International Liver Cancer Association (ILCA) White Paper on Biomarker Development for Hepatocellular Carcinoma

AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information

Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

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