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The relevant research of adverse childhood experiences and "risky drinking" in children of alcoholics in China

BMC psychiatry, 2023-01, Vol.23 (1), p.34-13, Article 34

2023

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'Let's Talk About Children' family focused practice for children of parents with schizophrenia and bipolar disorder: protocol for a randomized controlled trial

BMC psychiatry, 2024-01, Vol.24 (1), p.5-5, Article 5

2024

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Prevalence and Correlates of Risky Drinking Among the Oldest-Old in China: A National Community-Based Survey

Frontiers in psychiatry, 2022-05, Vol.13, p.919888-919888

2022

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Chinese mental health workers’ family-focused practices: a cross-sectional survey

BMC health services research, 2021-06, Vol.21 (1), p.569-569, Article 569

2021

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The Personality Traits and P300 of Offspring of Parents With Alcohol Dependence Differ Depending on Current Risky Drinking: A Preliminary Case-Control Study

Frontiers in psychiatry, 2022-06, Vol.13, p.918965-918965

2022

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DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network

Genes, 2022-10, Vol.13 (11), p.1983

2022

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Analysis of the Composition and Change of Chinese Blue and White Porcelain Pot Glaze from the Perspective of Archaeology

Mediterranean archaeology & archaeometry, 2023-12, Vol.23 (3), p.16

2023

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TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features

Bioinformatics, 2022-05, Vol.38 (10), p.2705-2711

2022

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CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism

Bioinformatics (Oxford, England), 2023-02, Vol.39 (2)

2023

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A study on a special DNA nanotube assembled from two single-stranded tiles

Nanotechnology, 2019-03, Vol.30 (11), p.115602

2019

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Computational de novo protein design: From secondary to primary, then toward tertiary structures

Chem, 2023-07, Vol.9 (7), p.1625-1627

2023

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Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence

Bioinformatics, 2022-09, Vol.38 (17), p.4070-4077

2022

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How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.1594-1599

2023

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Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events

Journal of chemical information and modeling, 2022-12, Vol.62 (23), p.6258-6270

2022

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RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding

Bioinformatics (Oxford, England), 2024-01, Vol.40 (1)

2024

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DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features

Journal of chemical information and modeling, 2023-11, Vol.63 (22), p.7258-7271

2023

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Numerical P systems with production thresholds

Theoretical computer science, 2017-04, Vol.673, p.30-41

2017

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Numerical P systems with migrating variables

Theoretical computer science, 2016-08, Vol.641, p.85-108

2016

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DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations

IEEE/ACM transactions on computational biology and bioinformatics, 2023-05, Vol.20 (3), p.2089-2100

2023

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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction

IEEE journal of biomedical and health informatics, 2024-08, Vol.28 (8), p.4995-5006

2024

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Universal enzymatic numerical P systems with small number of enzymatic variables

Science China. Information sciences, 2018-09, Vol.61 (9), p.092103, Article 092103

2018

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ctP 2 ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.297-306

2023

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ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.297-306

2023

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TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer

IEEE/ACM transactions on computational biology and bioinformatics, 2023-11, Vol.20 (6), p.1-13

2023

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Factors that influence family-focused practice in Chinese mental health workers: A cross-sectional survey

Journal of psychiatric and mental health nursing, 2023-12, Vol.30 (6), p.1216-1230

2023

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The relevant research of adverse childhood experiences and "risky drinking" in children of alcoholics in China

'Let's Talk About Children' family focused practice for children of parents with schizophrenia and bipolar disorder: protocol for a randomized controlled trial

Prevalence and Correlates of Risky Drinking Among the Oldest-Old in China: A National Community-Based Survey

Chinese mental health workers’ family-focused practices: a cross-sectional survey

The Personality Traits and P300 of Offspring of Parents With Alcohol Dependence Differ Depending on Current Risky Drinking: A Preliminary Case-Control Study

DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network

Analysis of the Composition and Change of Chinese Blue and White Porcelain Pot Glaze from the Perspective of Archaeology

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism

A study on a special DNA nanotube assembled from two single-stranded tiles

Computational de novo protein design: From secondary to primary, then toward tertiary structures

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence

How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets

Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding

DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features

Numerical P systems with production thresholds

Numerical P systems with migrating variables

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction

Universal enzymatic numerical P systems with small number of enzymatic variables

ctP 2 ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation

ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation

TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer

Factors that influence family-focused practice in Chinese mental health workers: A cross-sectional survey

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