Yizeng Liang
Molecular Biology · 2001–2015
A researcher in the Science corpus: 14 papers; trusts 10 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 57 citations into it; #7,689 of 17,773 by trust here, #9,270 by citations
- Computational Theory and Mathematics — 41 citations into it; #9,919 of 12,182 by trust here, #2,931 by citations
- Analytical Chemistry — 34 citations into it; #120 of 1,254 by trust here, #61 by citations
- Statistics and Probability — 22 citations into it; #2,993 of 12,932 by trust here, #1,624 by citations
- Artificial Intelligence — 15 citations into it
- Spectroscopy — 13 citations into it; #470 of 1,674 by trust here, #975 by citations
- Materials Chemistry — 12 citations into it
- Control and Systems Engineering — 7 citations into it; #1,109 of 8,257 by trust here, #1,213 by citations
Whom Yizeng Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kuo-Chen Chou
- Vladimir Naumovich Vapnik
- Vladimir Naumovich Vapni
- Noel M. O'Boyle
- Hongbin Shen
- Shuichi Kawashima
- Qingsong Xu
Who trusts Yizeng Liang overall
- Róbert Rajkó
- Wynne W. Chin
- Bradley Worley
- Kuo-Chen Chou
- Shira Kritchman
- Wangdong Ni
- Ming Jing
- Jie Dong
- Ali Cheraghian
- O. Kvalheim
Papers from Yizeng Liang's perspective
Ordered by how strongly the researchers Yizeng Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Statistical learning theory
- Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
- An introduction to ROC analysis
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (Nature Protocols)
- Introduction to Support Vector Machines
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Drug Target Identification Using Side-Effect Similarity
- AAindex: Amino Acid Index Database
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Their papers
- Monte Carlo cross validation (2001) — 972 citations
- propy: a tool to generate various modes of Chou's PseAAC (2013) — 460 citations
- ChemoPy: freely available python package for computational biology and chemoinformatics (2013) — 214 citations
- Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. (2009) — 1,574 citations
- Support vector machines and its applications in chemistry (2009) — 334 citations
- Iteratively variable subset optimization for multivariate calibration (2015) — 50 citations
- PyDPI: Freely Available Python Package for Chemoinformatics, Bioinformatics, and Chemogenomics Studies (2013) — 98 citations
- In silico toxicity prediction by support vector machine and SMILES representation-based string kernel (2012) — 47 citations
- Model-population analysis and its applications in chemical and biological modeling (2012) — 99 citations
- An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy (2010) — 302 citations
- Baseline correction using adaptive iteratively reweighted penalized least squares. (2010) — 979 citations
- Chemometrics: From Basics to Wavelet Transform (2004) — 71 citations
- Principles and methodologies in self-modeling curve resolution (2004) — 152 citations
- Quality control of herbal medicines. (2004) — 814 citations