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Jici Jiang

Showing results (1-10 of 6) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Literature-driven extraction and computational prediction of causal statements linking genetic variants to biological processes, pathways and phenotypesJici Jiang, Predrag Radivojac, Benjamin M Gyori
International Journal of Molecular Sciences|July 27, 2022
Identify Bitter Peptides by Using Deep Representation Learning FeaturesJici Jiang, Xinxu Lin, Yueqi Jiang, et al.
Heliyon|November 13, 2023
Review of T cell proliferation regulatory factors in treatment and prognostic prediction for solid tumorsJiayu Li, Shuhan Ma, Hongdi Pei, et al.
Briefings in Bioinformatics|February 17, 2024
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimizationJici Jiang, Hongdi Pei, Jiayu Li, et al.
Foods (Basel, Switzerland)|April 13, 2023
A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded FeaturesJici Jiang, Jiayu Li, Junxian Li, et al.
Foods (Basel, Switzerland)|November 26, 2022
IUP-BERT: Identification of Umami Peptides Based on BERT FeaturesLiangzhen Jiang, Jici Jiang, Xiao Wang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Literature-driven extraction and computational prediction of causal statements linking genetic variants to biological processes, pathways and phenotypesJici Jiang, Predrag Radivojac, Benjamin M Gyori
International Journal of Molecular Sciences|July 27, 2022
Identify Bitter Peptides by Using Deep Representation Learning FeaturesJici Jiang, Xinxu Lin, Yueqi Jiang, et al.
Heliyon|November 13, 2023
Review of T cell proliferation regulatory factors in treatment and prognostic prediction for solid tumorsJiayu Li, Shuhan Ma, Hongdi Pei, et al.
Briefings in Bioinformatics|February 17, 2024
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimizationJici Jiang, Hongdi Pei, Jiayu Li, et al.
Foods (Basel, Switzerland)|April 13, 2023
A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded FeaturesJici Jiang, Jiayu Li, Junxian Li, et al.
Foods (Basel, Switzerland)|November 26, 2022
IUP-BERT: Identification of Umami Peptides Based on BERT FeaturesLiangzhen Jiang, Jici Jiang, Xiao Wang, et al.
Pageof 1