E-LIB Suche - Ergebnisse für: Wekesa, Jael-Sanyanda

1

Protein function prediction based on data fusion and functi..:

Meng, Jun ; Wekesa, Jael-Sanyanda ; Shi, Guan-Li.
Mathematical Biosciences. 274 (2016) - p. 25-32 , 2016

2

Predicting Road Traffic Collisions Using a Two-Layer Ensemb..:

Oyoo, James Oduor ; Wekesa, Jael Sanyanda ; Ogada, Kennedy Odhiambo
Applied System Innovation. 7 (2024) 2 - p. 25 , 2024

Link: https://doi.org/10.3390/..

3

A review of multi-omics data integration through deep learn..:

Wekesa, Jael Sanyanda ; Kimwele, Michael
Frontiers in Genetics. 14 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

4

Identification of small open reading frames in plant lncRNA..:

Zhao, Siyuan ; Meng, Jun ; Wekesa, Jael Sanyanda.
Computers in Biology and Medicine. 157 (2023) - p. 106773 , 2023

Link: https://doi.org/10.1016/..

5

PRPI-SC: an ensemble deep learning model for predicting pla..:

Zhou, Haoran ; Wekesa, Jael Sanyanda ; Luan, Yushi.
BMC Bioinformatics. 22 (2021) S3 - p. , 2021

Link: https://doi.org/10.1186/..

6

A deep learning model for plant lncRNA-protein interaction ..:

Wekesa, Jael Sanyanda ; Meng, Jun ; Luan, Yushi
Molecular Genetics and Genomics. 295 (2020) 5 - p. 1091-1102 , 2020

Link: https://doi.org/10.1007/..

7

LPI-DL: A recurrent deep learning model for plant lncRNA-pr..:

, In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),

Wekesa, Jael Sanyanda ; Luan, Yushi ; Meng, Jun - p. 499-502 , 2020

Link: https://doi.org/10.1109/..

8

Multi-feature fusion for deep learning to predict plant lnc..:

Wekesa, Jael Sanyanda ; Meng, Jun ; Luan, Yushi
Genomics. 112 (2020) 5 - p. 2928-2936 , 2020

Link: https://doi.org/10.1016/..

9

A Hybrid Prediction Method for Plant lncRNA-Protein Interac..:

Wekesa, Jael Sanyanda ; Luan, Yushi ; Chen, Ming.
Cells. 8 (2019) 6 - p. 521 , 2019

Link: https://doi.org/10.3390/..

10

Prediction of Plant lncRNA-Protein Interactions Using Seque..:

, In: Intelligent Computing Methodologies; Lecture Notes in Computer Science,

Zhou, Haoran ; Luan, Yushi ; Wekesa, Jael Sanyanda. - p. 358-368 , 2019

Link: https://doi.org/10.1007/..

11

A review of multi-omics data integration through deep learn..:

Wekesa, Jael Sanyanda ; Kimwele, Michael
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398577/. , 2023

Link: http://www.ncbi.nlm.nih...

12

PRPI-SC: an ensemble deep learning model for predicting pla..:

Zhou, Haoran ; Wekesa, Jael Sanyanda ; Luan, Yushi.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385908/. , 2021

Link: http://www.ncbi.nlm.nih...

13

A Hybrid Prediction Method for Plant lncRNA-Protein Interac..:

Wekesa, Jael Sanyanda ; Luan, Yushi ; Chen, Ming.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627874/. , 2019

Link: http://www.ncbi.nlm.nih...

14

A review of multi-omics data integration through deep learn..:

Jael Sanyanda Wekesa ; Michael Kimwele
https://www.frontiersin.org/articles/10.3389/fgene.2023.1199087/full. , 2023

Link: https://doi.org/10.3389/..

15

PRPI-SC: an ensemble deep learning model for predicting pla..:

Haoran Zhou ; Jael Sanyanda Wekesa ; Yushi Luan.
https://doi.org/10.1186/s12859-021-04328-9. , 2021

Link: https://doi.org/10.1186/..