日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides

xBitterT5:一种基于Transformer的可解释框架,具有多模态输入,用于识别苦味肽

Nguyen, Nguyen Doan Hieu; Pham, Nhat Truong; Tran, Duong Thanh; Wei, Leyi; Malik, Adeel; Manavalan, Balachandran

HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors

HyPepTox-Fuse:一种可解释的混合框架,用于准确预测肽毒性,该框架融合了基于蛋白质语言模型的嵌入和传统描述符。

Tran, Duong Thanh; Pham, Nhat Truong; Nguyen, Nguyen Doan Hieu; Wei, Leyi; Manavalan, Balachandran

ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning

ac4C-AFL:一种基于自适应特征表示学习的高精度人类mRNA N4-乙酰胞苷位点识别方法

Pham, Nhat Truong; Terrance, Annie Terrina; Jeon, Young-Jun; Rakkiyappan, Rajan; Manavalan, Balachandran

Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA

Meta-2OM:一种用于准确预测人类RNA中RNA 2'-O-甲基化位点的多分类器元模型

Harun-Or-Roshid, Md; Pham, Nhat Truong; Manavalan, Balachandran; Kurata, Hiroyuki

How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?

数据驱动的预测方法能够多好地区分二氢尿苷与 tRNA 和 mRNA?

Basith, Shaherin; Manavalan, Balachandran

An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental Validation

一种用于识别番茄黄化曲叶病毒严重程度的有效集成机器学习框架及其实验验证

Bupi, Nattanong; Sangaraju, Vinoth Kumar; Phan, Le Thi; Lal, Aamir; Vo, Thuy Thi Bich; Ho, Phuong Thi; Qureshi, Muhammad Amir; Tabassum, Marjia; Lee, Sukchan; Manavalan, Balachandran

Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

Deepm5C:一种基于深度学习的混合框架,利用堆叠策略识别人类RNA N5-甲基胞嘧啶位点。

Hasan, Md Mehedi; Tsukiyama, Sho; Cho, Jae Youl; Kurata, Hiroyuki; Alam, Md Ashad; Liu, Xiaowen; Manavalan, Balachandran; Deng, Hong-Wen

TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization

TACOS:一种用于精确预测细胞特异性长链非编码RNA亚细胞定位的新方法

Jeon, Young-Jun; Hasan, Md Mehedi; Park, Hyun Woo; Lee, Ki Wook; Manavalan, Balachandran

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids

SCMTHP:一种利用氨基酸倾向性评分估计来识别和表征肿瘤靶向肽的新方法

Charoenkwan, Phasit; Chiangjong, Wararat; Nantasenamat, Chanin; Moni, Mohammad Ali; Lio', Pietro; Manavalan, Balachandran; Shoombuatong, Watshara

The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer

细颗粒物2.5对心血管系统的影响:对“隐形杀手”的综述

Basith, Shaherin; Manavalan, Balachandran; Shin, Tae Hwan; Park, Chan Bae; Lee, Wang-Soo; Kim, Jaetaek; Lee, Gwang