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Research

Scientific computing and academic tools.

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bioinformatics
304

rstudio

使用R语言ggplot2绘制基因表达差异点图,支持pvalue大小映射、log2FoldChange颜色渐变及特定主题样式定制。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

opencv

使用OpenCV对图像进行骨架化处理,并去除游离孤点及基于距离阈值过滤连接时的异常点。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

matlab-fft-battery-impedance-nyquist

针对包含激励信号的10Hz采样电池数据,利用FFT(含去直流和加窗处理)计算特定频率的电化学阻抗并绘制奈奎斯特图。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

pytorch-hdr

针对树莓派等边缘设备,设计基于PyTorch的轻量级CNN模型,用于将5帧RAW图像融合为RGB图像。要求采用类UNet结构,集成注意力机制,并确保推理时延低于30ms。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

sci

根据用户指定的基因名称,撰写该基因与腹主动脉瘤(AAA)相关的SCI论文讨论部分,包含参考文献及文中引用标注。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

grammatical-feature-translation-and-analysis

Generates sentences in specific languages based on provided grammatical feature strings or morphological glosses, and analyzes sentences to produce single-line grammatical feature breakdowns.

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

xml-character-relationship-schema-formatter

Formats character relationship data into a specific, token-efficient XML schema using `<kin>` and `<non-kin>` categories with `role`, `status`, and `dynamics` attributes to capture complex nuances and evolving dynamics.

ECNU-ICALK
ECNU-ICALK
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open
bioinformatics
304

snp

使用Python处理包含SNP基因型和表型数据的CSV文件,筛选纯合基因型,计算表型均值并找出每个位点表现最好的基因型。

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

python-trend-analysis-code-generator

Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

python-csv

讀取CSV文件,僅使用csv庫且不使用SequenceMatcher,計算第一列目標基因型與後續每一列基因型的相似度。

ECNU-ICALK
ECNU-ICALK
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open
bioinformatics
304

algebraic-problem-solver

Solves algebraic problems including quadratic equations (via specific methods like square root or formula), polynomial factoring, and graphing. Ensures solutions are in simplified radical or reduced fraction form, with intercepts as ordered pairs.

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

dart-progressive-random-subset-generator

Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller list as a subset, with results sorted in ascending order.

ECNU-ICALK
ECNU-ICALK
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open
bioinformatics
304

matlab

使用MATLAB遗传算法求解多变量函数的最大值,支持为每个变量设置不同的范围,并绘制显示原始目标函数值的迭代过程图。

ECNU-ICALK
ECNU-ICALK
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bioinformatics
304

theoretical-cucuteni-trypillia-substrate-reconstruction

Reconstructs text into the hypothetical Pre-Indo-European Cucuteni–Trypillia substrate of the West-Western Yamnaya region, utilizing multidisciplinary data and theoretical frameworks while strictly avoiding Yamnaya admixtures.

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

rsa

对来访者完成的合理自我分析报告(RSA)进行结构化反馈,确认其对ABC模型的理解准确性,强化新生成的合理信念,并自然链接至后续行为实验任务。

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

sse

Написание и отладка кода на ассемблере x86 для умножения матриц 4x4 с использованием xmm регистров и инструкций SSE, с учетом выравнивания памяти и заданных смещений.

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

pytorch-3d-diffusion-model-with-raw-file-io

Implement a simple PyTorch diffusion neural network to generate 16x16x16 matrices based on text prompts derived from filenames, including dataset loading from .raw files and saving outputs.

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

rust-gtf-parallel-parser-and-bed-converter

Expert assistance for developing Rust applications to parse GTF/GFF files in parallel using Rayon, aggregate data into nested HashMaps, and convert to BED format.

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

rfid-range-calculation-with-material-effects-in-matlab

Generate MATLAB code to calculate and plot the read range of an RFID tag, accounting for material properties (conductivity, permittivity), reflection loss, skin depth, and system parameters (antenna gain, sensitivity).

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

recursive-bone-hierarchy-traversal-and-animation-calculation

Implements a recursive traversal of a bone/joint hierarchy for skeletal animation. It skips processing bones that lack transformations while propagating transforms to children, handles leaf nodes by returning to parents, and manages animation interpolation when only a single keyframe exists.

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

multidisciplinary-linguistic-reconstruction

Performs theoretical translations, vocabulary generation, and origin synthesis for ancient cultures (including specific substrates like Cucuteni-Trypillia) using multi-disciplinary data. Supports speculative and non-speculative modes, strictly adhering to user-defined exclusions such as avoiding specific admixtures (e.g., Yamnaya).

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

dna-to-mrna-transcription

Transcribes DNA sequences into complementary mRNA sequences, adhering to base pairing rules (A-U, T-A, C-G, G-C) and handling specific output directionality requests (5' to 3' or 3' to 5').

ECNU-ICALK
ECNU-ICALK
research
open
bioinformatics
304

dart-deterministic-random-subset-generator

Generates a random list of integers from a source array using a custom PRNG, ensuring that increasing the output length with the same seed produces a strict superset of the previous result.

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ECNU-ICALK
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