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Feng Lin

Researcher at Nanyang Technological University

Publications -  224
Citations -  3121

Feng Lin is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 23, co-authored 180 publications receiving 2195 citations. Previous affiliations of Feng Lin include Foshan University & Hebei University.

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An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data

TL;DR: The proposed approach, ChIPDiff, employs a hidden Markov model (HMM) to infer the states of histone modification changes at each genomic location and demonstrated that the H3K27me3 DHMSs identified by the approach are of high sensitivity, specificity and technical reproducibility.
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A signal–noise model for significance analysis of ChIP-seq with negative control

TL;DR: A linear signal-noise model was introduced, in which a noise rate was introduced to represent the fraction of noise in a ChIP library, and an iterative algorithm to estimate the noise rate using a control library and derived a library-swapping strategy for the false discovery rate estimation.
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Direct observation of ultrafast plasmonic hot electron transfer in the strong coupling regime.

TL;DR: The results suggest that strong coupling between LSPs and SPPs has synergetic effects on the generation of plasmonic hot carriers, where SPPs with a unique nonradiative feature can act as an ‘energy recycle bin’ to reuse the radiative energy of L SPs and contribute to hot carrier generation.
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Tailoring MoS2 Valley-Polarized Photoluminescence with Super Chiral Near-Field

TL;DR: It is reported that valley-polarized PL of MoS2 can be tailored through near-field interaction with plasmonic chiral metasurface, and tailors the measured PL spectra in the far-field, resulting in observation of chiral DVP ofMoS2 -metasurfaces under opposite helicities excitations.
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A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images

TL;DR: A two-step graph-theoretical approach to address the filament crossovers' problem, which enables the interesting connection between the tracing problem and the digraph matrix-forest theorem in algebraic graph theory for the first time.