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  • 来自专栏DrugOne

    Bioinformatics | TransformerCPI模型

    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

    1.1K71发布于 2021-02-01
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题5

    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 -

    65720发布于 2021-10-20
  • 来自专栏用户7627119的专栏

    Bioinformatics Data Skills—生信的入门好书

    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

    94230编辑于 2022-09-21
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题29

    BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches 论文摘要:

    61130编辑于 2022-10-05
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题22

    DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning 论文摘要:

    37320编辑于 2022-04-06
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题23

    Accelerating bioactive peptide discovery via mutual information-based meta-learning 论文摘要:

    72220编辑于 2022-04-06
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题21

    SMNN: batch effect correction for single-cell RNA-seq data via supervised mutual nearest neighbor detection

    51420编辑于 2022-02-11
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题27

    A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape 论文摘要:

    63320编辑于 2022-05-23
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题12

    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.

    84710编辑于 2022-04-06
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题13

    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

    60650编辑于 2022-05-23
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题10

    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

    77130编辑于 2022-02-11
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题14

    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

    66040编辑于 2022-05-23
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题25

    A novel antibacterial peptide recognition algorithm based on BERT

    68340编辑于 2022-05-23
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题18

    Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells 论文摘要:

    62320编辑于 2021-12-27
  • 来自专栏DrugOne

    Bioinformatics|癌症细胞系的用药反应预测

    Code availability https://github.com/USTC-HIlab/NRL2DRP 参考资料 https://academic.oup.com/bioinformatics/

    79850发布于 2021-02-01
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题1

    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

    89020发布于 2021-10-08
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题11

    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

    54610编辑于 2022-04-06
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题4

    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

    72520发布于 2021-10-20
  • 来自专栏智能生信

    Bioinformatics】四篇好文简读-专题8

    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/

    61740编辑于 2022-01-05
  • 来自专栏智能生信

    【Briefings in Bioinformatics】四篇好文简读-专题20

    DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning 论文摘要:

    44620编辑于 2022-02-11
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