Lechuan Li on Muck Rack

Lechuan Li

As seen in: Genome Research
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Articles

Interpretable phenotype decoding from multicondition sequencing data with ALPINE

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By Wei-Hao Lee, Lechuan Li, Ruth Dannenfelser, Vicky Yao
| Genome Research
2,3,4 1Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas 77005, USA; 2Department of Computer Science, Rice University, Houston, Texas 77005, USA; 3Ken Kennedy Institute, Rice University, Houston, Texas 77005, USA; 4Rice Synthetic Biology Institute, Rice University, Houston, Texas 77005, USA ↵5 These authors contributed equally to this work.
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Interpretable phenotype decoding from multi-condition sequencing data with ALPINE

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By Wei-Hao Lee, Lechuan Li, Ruth Dannenfelser, Vicky Yao
| biorxiv.org
Abstract As sequencing techniques advance in precision, affordability, and diversity, an abundance of heterogeneous sequencing data has become available, encompassing a wide range of phenotypic features and biological perturbations.
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Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks

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By Jeffrey Zhong, Lechuan Li, Ruth Dannenfelser, Vicky Yao
| biorxiv.org
Abstract Gene embeddings have emerged as transformative tools in computational biology, enabling the efficient translation of complex biological datasets into compact vector representations. This study presents a comprehensive benchmark by evaluating 38 classic and state-of-the-art gene embedding methods across a spectrum of functional prediction tasks.
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