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ORCIDQuantitative Biology, Volume 10
Volume 10, Number 1, 2022
- Xuegong Zhang, Jin Gu
:
Yanda Li: A never-stopping pioneer, investigator and founder. 1 - John Quackenbush:
Looking back at the first twenty years of genomics. 6 - Lili Zhu, Zhenyu Qian:
Recent studies of atomic-resolution structures of tau protein and structure-based inhibitors. 17 - Boon-Peng Hoh, Thuhairah Abdul Rahman:
The indigenous populations as the model by nature to understand human genomic-phenomics interactions. 35 - Lei Li, Yumei Li, Xudong Zou, Fuduan Peng, Ya Cui, Eric J. Wagner, Wei Li:
Population-scale genetic control of alternative polyadenylation and its association with human diseases. 44 - Shicai Fan, Likun Wang, Liang Liang, Xiaohong Cao, Jianxiong Tang, Qi Tian:
The progress on the estimation of DNA methylation level and the detection of abnormal methylation. 55 - Shiwei Fan, Ming Xiao, Boyu Sun, Weizhong Zhou, Qingrong Chen, Weimin Lv, Pengfei Zhang, Le Zhang:
ASTM: Developing the web service for anthrax related spatiotemporal characteristics and meteorology study. 67 - Alvaro Filbert Liko, Edward Ciputra, Nathaniel Alvin Sanjaya, Priskila Cherisca Thenaka, David Agustriawan:
DNA methylation profiling reveals new potential subtype-specific gene markers for early-stage renal cell carcinoma in Caucasian population. 79 - Leshi Chen, Don Kulasiri, Sandhya Samarasinghe:
Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways. 94
Volume 10, Number 2, 2022
- Francesco Napolitano, Xin Gao:
Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic. 123 - HyeongChan Jo, Juhyun Kim, Tzu-Chen Huang, Yu-Li Ni:
condLSTM-Q: A novel deep learning model for predicting COVID-19 mortality in fine geographical scale. 125 - Georgios D. Barmparis, Giorgos P. Tsironis:
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries. 139 - Pavel Grinchuk, Sergey Fisenko:
Power-law multi-wave model for COVID-19 propagation in countries with nonuniform population density. 150 - Ayman Mourad, Fatima Mroue:
Discrete spread model for COVID-19: the case of Lebanon. 157 - Chen Tang, Tiandong Wang, Panpan Zhang:
Functional data analysis: An application to COVID-19 data in the United States in 2020. 172 - Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging. 188 - Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, Maryum Bibi, Fiaz Majeed, Abdul Jaleel, Muhammad Naveed Akhtar:
COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans. 208
Volume 10, Number 3, 2022
- Lirong Zhang, Junjie Liu:
Liaofu Luo: A pure scientist of theoretical biophysics. 221 - Yong-Jin Liu, Xiu-Jie Wang:
Special collection on biological and biomedical image analysis. 224 - Nobuko Ohmido, Astari Dwiranti, Seiji Kato, Kiichi Fukui:
Applications of image analysis in plant chromosome and chromatin structure study. 226 - Ran Yi, Rui Zeng, Yang Weng, Minjing Yu, Yu-Kun Lai, Yong-Jin Liu:
Lesion region segmentation via weakly supervised learning. 239 - Xiaokang Chai, Yachao Di, Zhao Feng, Yue Guan, Guoqing Zhang, Anan Li, Qingming Luo:
Deep learning-based large-scale named entity recognition for anatomical region of mammalian brain. 253 - Limin Sun, Dongyang Ma, Yuanfeng Zhou:
Scale-adaptive superpixels for medical images. 264 - Aihua Mao, Zihui Du, Dayu Lu, Jie Luo:
Attention emotion recognition via ECG signals. 276 - Qiuxuan Liu, Degang Wu, Chaolong Wang:
Identification of genomic regions distorting population structure inference in diverse continental groups. 287 - Chenwei Li, Zedao Liu, Zemin Zhang:
Integrating human single-cell data from multiple sources. 299
Volume 10, Number 4, 2022
- Miaomiao Tian, Jing-Dong J. Han:
How should bioinformatics PIs run wet-labs? 301 - Yueshan Zhao, Min Zhang, Da Yang:
Bioinformatics approaches to analyzing CRISPR screen data: from dropout screens to single-cell CRISPR screens. 307 - Mengya Chai, Xueyang Xiong, Huimin Wang, Lida Xu:
The methodological challenge in high-throughput profiling and quantifying microRNAs. 321 - Weiran Chen, Md Wahiduzzaman, Quan Li, Yixue Li, Guangyong Zheng, Tao Huang:
Comparative analysis of NovaSeq 6000 and MGISEQ 2000 single-cell RNA sequencing data. 333 - Prabhat Ranjan, Kumar Gaurav, Tanmoy Chakraborty:
Computational study of some potential inhibitors of COVID-19: A DFT analysis. 341 - Yun Liang, Xiaoming Chen:
Tracking guided actions recognition for cows. 351 - Xue-Ying Li, Xiao Chen, Chao-Gan Yan:
Altered cerebral activities and functional connectivity in depression: a systematic review of fMRI studies. 366 - Huijie Sun, Junli Zhao, Chengyuan Wang, Yi Li, Niankai Zhang, Mingquan Zhou:
Skull ethnic classification by combining skull auxiliary image with deep learning. 381 - Chunliang Feng, Frank Krueger, Ruolei Gu, Wenbo Luo:
Decoding fear of negative evaluation from brain morphology: A machine-learning study on structural neuroimaging data. 390
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