今天给大家带来的文章是2020年5月份发表在《Bioinformatics》上的文章《TransformerCPI: Improving compound–protein interaction prediction Bioinformatics. https://doi.org/10.1093/bioinformatics/btaa524
论文链接: https://doi.org/10.1093/bioinformatics/btaa668 Github链接: https://github.com/fast-raidiology/bert-for-radiology 论文链接: https://academic.oup.com/bioinformatics/article/37/19/3235/6271408 代码链接: https://cran.r-project.org 论文链接: https://doi.org/10.1093/bioinformatics/btab632 Github链接: http://yanglab.nankai.edu.cn/QDistance 论文链接: https://doi.org/10.1093/bioinformatics/btab702 Github链接: https://github.com/aistairc/BioVAE -
第一本书 《Bioinformatics Data Skills》 链接: https://pan.baidu.com/s/1c2g0MPU 密码: v2c9 《Bioinformatics Data 本书的代码和补充文件可以从下面链接获取 https://gitee.com/ct5869/bioinformatics-data-skills 下面是本书的目录,共分为三大部分: 第二本书 《Bioinformatics 链接: https://pan.baidu.com/s/1dF0H52x 密码: a7e4 如果对Linux和Python还不太了解,本书又推荐了一些有用的书籍,如: 1)用于Python学习的:Bioinformatics
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches 论文摘要:
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning 论文摘要:
Accelerating bioactive peptide discovery via mutual information-based meta-learning 论文摘要:
SMNN: batch effect correction for single-cell RNA-seq data via supervised mutual nearest neighbor detection
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape 论文摘要:
论文地址 https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac099/6530275 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac133/6541631 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab826/6454947 论文链接: https://doi.org/10.1093/bioinformatics/btac116 Github链接: https://github.com/RNAseqTSA.
论文链接: https://doi.org/10.1093/bioinformatics/btac154 Github: https://github.com/XieResearchGroup/DeepREAL 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac164/6551245 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab848/6462433
论文链接: https://doi.org/10.1093/bioinformatics/btab859 GitHub链接: https://github.com/bio-ontology-research-group 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab857/6482741 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab850/6470559
论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac199/6565313 论文链接: https://doi.org/10.1093/bioinformatics/btac234 代码链接: https://github.com/frankchen121212/RHSNet 论文链接: https://doi.org/10.1093/bioinformatics/btab545 四 论文题目: STonKGs: A Sophisticated Transformer 论文链接: https://doi.org/10.1093/bioinformatics/btac001
A novel antibacterial peptide recognition algorithm based on BERT
Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells 论文摘要:
Code availability https://github.com/USTC-HIlab/NRL2DRP 参考资料 https://academic.oup.com/bioinformatics/
论文链接: https://doi.org/10.1093/bioinformatics/btab109 Github链接: https://github.com/haiyang1986/Subtype-GAN 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab548/6329632 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab464/6307262 论文链接: https://academic.oup.com/bioinformatics/article/37/17/2544/6151691 Github链接: https://github.com
论文链接: https://doi.org/10.1093/bioinformatics/btac104 Github链接: https://github.com/Ieremie/TransformerGO 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab817/6454941 论文链接: https://doi.org/10.1093/bioinformatics/btac112 Github链接: https://github.com/divelab/MoleculeX 四 论文链接: https://doi.org/10.1093/bioinformatics/btab857 Github链接: https://github.com/qasimyu/amc
论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab473/6310735 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab660/6373413 论文链接: https://doi.org/10.1093/bioinformatics/btab303 Github链接: https://github.com/uci-cbcl/SAILER 四 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab565/6332000
论文链接: https://doi.org/10.1093/bioinformatics/btab838 Github链接: https://github.com/bigbio/py-pgatk/ 三论文题目 论文链接: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab652/6367768 论文链接: https://doi.org/10.1093/bioinformatics/btab712 Github链接: http://zhulab.org.cn/BERT-Kcr_models/
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning 论文摘要: