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ORCIDICBBB 2023: Tokyo, Japan
- Proceedings of the 13th International Conference on Bioscience, Biochemistry and Bioinformatics, ICBBB 2023, Tokyo, Japan, January 13-16, 2023. ACM 2023, ISBN 978-1-4503-9819-0
- Georgios Asimomitis
, Maria Sirenko, Christos Fotis, Dan A. Landau, Leonidas G. Alexopoulos, Elli Papaemmanuil:
Predicting single cell genotypes from single cell expression profiles in AML using deep learning. 1-9 - Hung-Yi Lin, Ting-Han Lin:
Efficient Feature Selection based on Soft Cluster Analysis for Biological Datasets. 10-16 - Kotchanat Srisangchun, Komwit Surachat, Kwannan Nantavisai, Onanong Pringsulaka, Siriruk Sarawaneeyaruk:
Genomic insights into antimicrobial-producing Pseudomonas aeruginosa SWUC02. 17-22 - Jason Huajue Yang, Eena Cheng:
Heterogeneity Analysis of Glioblastoma Tumor Cell Population Based on Single-Cell Rna Sequencing Data Analysis. 23-33 - Jason Teng, Zhi Xie:
Whole Genomic Sequencing and Bioinformatic Analysis of Arthrospira Platensis SBC. 34-39 - Duo Bai, Qi Xie:
The Function of Transmembrane Helix and Signal Sequence of Coronavirus in Co-Translational Targeting and Insertion Towards Er. 40-46 - Yijing Li, Raven Huang:
Genomic and Single Cell Transcriptomic Analyses in Autism Spectrum Disorder. 47-58 - Andrei Tenescu, Bogdan-Alexandru Bercean, Cristian Avramescu, Marius Marcu:
Averaging Model Weights Boosts Automated Lung Nodule Detection On Computed Tomography. 59-62 - Rui Camacho, Jorge Oliveira, Luis Andrade:
A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis. 63-67 - Di Zhang, Wenjing Zhang, Tao Luo, Ming Yang, Aijun Liu:
Inner Diameter Measurement Oriented Aortic Segmentation: An Edge Enhancement and Contextual Fusion Deep Learning Method. 68-74 - Jiangxue Li, Peize Zhao:
Deep learning applications in fMRI - a Review Work. 75-80 - Junming Chen:
Classification of Theoretical Extracellular Action Potentials Based on Unsupervised Machine-Learning. 81-86 - Asita Elengoe, Sherman Ryner Suhaibun:
Pharmacodynamics of Phytocompound from Dimocarpus Longan Against Breast Cancer Biomarkers. 87-93 - Guo Mao, Ke Zuo, Zhengbin Pang, Jie Liu:
GGN: a model-free, data-driven deep learning framework for reconstructing gene regulatory networks. 94-102 - Zhixuan Qu:
Investigating Conventional and Novel Methods for Treatment of Cancer. 103-111 - Kosuke Nariyama, Yoh Noguchi, Motokuni Nakajima, Hironao Yamada, Ryota Morikawa, Masako Takasu, Shoko Fujiwara:
Coarse-Grained Molecular Dynamics Simulation of Thermostable Starch Branching Enzyme. 112-119 - Saravana Prakash Thirumuruganandham, Tamia Sisa Yanez Tamba, Eduardo Patricio Estévez Ruiz, Edgar Arturo Gómez:
Mechanical and dynamical analysis of tendon transfer surgery focused on wrist. 120-126
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