Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is ne...Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is necessary to organically combine personalized education with the cultivation of innovative and entrepreneurial ability.On the basis of unified teaching ideas,we should pay attention to the individual differences of educational objects,eliminate the disadvantages of traditional education,and break the conventional"spoon-feeding"teaching mode.It is necessary to shift from only paying attention to one-way indoctrination to paying attention to the cultivation of students'innovative quality,and to enhance students'interest in scientific research and practical ability of innovation and entrepreneurship through the rich scientific research activities of academic associations.展开更多
The fast advancement of artificial intelligence(AI)technologies in recent years,especially the deep learning algo-rithm and transformer neural network,has brought great impacts on scientific researches.As a displine f...The fast advancement of artificial intelligence(AI)technologies in recent years,especially the deep learning algo-rithm and transformer neural network,has brought great impacts on scientific researches.As a displine focusing on curation and analysis of life science data,bioinformatics has experienced remarkable changes under the impe-tus of AI technologies,not only in nowadays,but also throughout its history.In this review,we firstly summarize the historical events of computer-assisted life science data analysis,then assess the features,contributions and changes of AI methods in life science research by using bibliometric analysis,and discuss the future challenges for AI methods from the life science research aspects.There is no doubt that AI technologies will continuously accelerate and revolutionize life science research in the future,in the meanwhile,the development of new AI methods more suitable for life science data is also in great needs.展开更多
基金Research Project of Higher Education and Teaching Reform in Heilongjiang Province(SJGY20190484)Heilongjiang Educational Science 13 th Five-Year Plan Project(GBC1317101)Graduate Education and Teaching Reform Project of Heilongjiang Bayi Agricultural University(YJG201803).
文摘Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is necessary to organically combine personalized education with the cultivation of innovative and entrepreneurial ability.On the basis of unified teaching ideas,we should pay attention to the individual differences of educational objects,eliminate the disadvantages of traditional education,and break the conventional"spoon-feeding"teaching mode.It is necessary to shift from only paying attention to one-way indoctrination to paying attention to the cultivation of students'innovative quality,and to enhance students'interest in scientific research and practical ability of innovation and entrepreneurship through the rich scientific research activities of academic associations.
基金supported by grants from National Natural Sci-ence Foundation of China(91940304,91839105)The Ability Estab-lishment of Sustainable Use for Valuable Chinese Medicine Resources(2060302)Beijing Municipal Science&Technology Commission(Z231100007223010).
文摘The fast advancement of artificial intelligence(AI)technologies in recent years,especially the deep learning algo-rithm and transformer neural network,has brought great impacts on scientific researches.As a displine focusing on curation and analysis of life science data,bioinformatics has experienced remarkable changes under the impe-tus of AI technologies,not only in nowadays,but also throughout its history.In this review,we firstly summarize the historical events of computer-assisted life science data analysis,then assess the features,contributions and changes of AI methods in life science research by using bibliometric analysis,and discuss the future challenges for AI methods from the life science research aspects.There is no doubt that AI technologies will continuously accelerate and revolutionize life science research in the future,in the meanwhile,the development of new AI methods more suitable for life science data is also in great needs.
